Senior Software Engineer, Uber AI Solutions

Backend, Engineering

Sunnyvale, California |

San Francisco, California

Full Time

Apply Now

About the Role

At Uber, our mission is to be the platform of choice for flexible earning opportunities. We are expanding this vision through Uber AI Solutions (UAIS), a fast-growing team operating like a startup within Uber.

We are building foundational model data infrastructure for the next generation of AI systems, where human intelligence and machine learning models work together to produce Model Ready Datasets.

Our platform serves frontier labs, cognitive research teams, and model infrastructure organizations operating across Generative AI & Physical AI. As models are pushed into multimodal, interactive, and real world usecases, high quality, well structured and well understood data becomes a system level requirement.

We are creating a cutting-edge, AI powered, scalable, human in the loop platform that integrates expert knowledge workers directly into the data lifecycle. From dataset design and evaluation to feedback driven iterations and responsible data production, our infrastructure enables team to move faster without compromising rigor and reliability. We operate in over 30+ countries, with knowledge workers actively engaged in preparing datasets for a variety of AI initiatives.

We believe breakthroughs in AI will be driven not only by advances in models, but by the strengths of data systems that support them. Our mission is to build the infrastructure that makes frontier research and production possible at scale.

We are seeking a Senior Software Engineer to provide technical direction and lead platform architecture for Uber AI Solutions, a fast-growing, startup-like organization within Uber. In this role, you will own and drive the design of foundational data infrastructure that enables frontier AI systems to transition from research to production with speed, rigor, and reliability. You will build scalable platforms that integrate expert human input with machine learning to produce high-quality, model-ready datasets for multimodal and real-world AI use cases.

What You'll Do

• Lead the design and delivery of complex backend projects, taking end-to-end ownership from requirements through production rollout.
• Partner cross-functionally with ML Ops, data, and product teams to translate platform and business needs into scalable, efficient backend solutions.
• Influence technical direction within your team, defining patterns, reviewing designs, and championing high standards for code quality and reliability.
• Use AI-assisted development tools and automation frameworks to improve development velocity and team productivity.
• Mentor engineers and support peer growth, fostering collaboration and continuous improvement within the team.

Basic Qualifications

• Bachelor’s degree in Computer Science or a related field (or equivalent experience).
• Proficient in one or more of Java, Go, Python, C++, with proven track record of shipping services and working in production.
• Demonstrated experience in system design, service reliability, scalability; comfortable evaluating trade-offs for real-world systems.
• Experience working cross-functionally with product, design, data/ML engineering teams.
• Excellent communication skills; able to articulate technical decisions, influence within the team, mentor junior engineers.

Preferred Qualifications

• 5+ years of software engineering experience in building scalable, high-quality systems.
• Hands-on experience designing or scaling ML Ops workflows, including feature stores, training pipelines, or model deployment systems.
• Practical experience integrating ML-powered components into backend systems (e.g., inference APIs, model monitoring, or real-time analytics).
• Knowledge of data labeling, collection, and translation pipelines that feed production ML models.
• Understanding of GenAI and LLM-based systems; familiarity with prompt engineering, fine-tuning, or embedding-based retrieval frameworks.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Machine Learning Engineer - Moonshot AI

Machine Learning, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the role

Uber AI Solutions is one of Uber’s biggest bets with the ambition to build one of the world’s largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems.

We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc..

In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You’ll help grow Uber AI Solutions into a leader in the space.

What the candidate will do:

• Identify and choose the right problems that will benefit from ML expertise.
• Design and develop a suite of ML models that will help solve the above problems.
• Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms.
• Explore novel ideas and innovative solutions that can lead to a step change in our products
• Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly.
• Write clean, modular, and maintainable code.
• Conduct code reviews and ensure high code quality standards.
• Keep up to date with the latest ML technologies and best practices.

Basic Qualifications

1. Bachelor's degree in Computer Science, Machine Learning, or a closely related discipline
2. Demonstrated experience developing, training, and deploying ML models to production
3. Strong expertise in one or more areas: Computer Vision, Natural Language Processing, Deep Learning, or Generative AI (LLMs, diffusion models, multimodal systems)
4. Proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages (Python, Go, Java, or C++)
5. Strong analytical and problem-solving abilities with proven collaborative teamwork skills

Preferred Qualifications

1. Master's or Ph.D. in Computer Science, Machine Learning, or related field
2. 5+ years of industry experience in ML/AI building production systems
3. Experience with LLM fine-tuning techniques, prompt engineering, and building RAG systems
4. Track record training large models on distributed infrastructure
5. Hands-on experience with model serving, A/B testing, and ML platform toolingBackground in marketplace optimization, recommendation systems, or multi-armed bandit algorithms
6. Publications or research contributions in AI/ML conferences or journals
7. Experience with SQL and distributed data systems
8. Proven ability to rapidly prototype and iterate, demonstrating curiosity and an experimental mindset

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<h3><strong>About the Role</strong></h3>
<p>As a <strong>Staff Engineer (5B)</strong> in Core Infrastructure, you will be a key technical leader responsible for the architecture and evolution of the systems that power Uber’s global business. You will engage with stakeholders across the company to lead the development of backend solutions that support every trip, delivery, and infrastructure tool used at Uber.</p>
<p>We are moving to build a "cloud-native by default" ecosystem that is secure, reliable, and hyperscale-efficient. You will own the technical roadmap for critical sub-systems, ensuring they are prepared for 1M+ concurrent trips and the massive compute demands of Generative AI and Autonomous Vehicle data.</p>
<h3><strong>About the Team</strong></h3>
<p>The <strong>Core Infrastructure Platform</strong> team builds the next generation of Uber’s orchestration, foundation, and networking layers. We manage a complex fleet spanning on-prem data centers and multiple public clouds, supporting a diverse variety of workloads (stateless, batch, streaming, and ML).</p>
<p>Our goal is to create abstractions so that Uber developers can deploy anywhere in the world with the touch of a button—making infrastructure "just work." We are active contributors to the open-source community (Kubernetes, CNCF) and regularly present our innovations at industry conferences like KubeCon.</p>
<h3><strong>What the Candidate Will Do</strong></h3>
<ul>
<li><strong>Lead Architectural Evolution:</strong> Identify architectural gaps in our compute and networking stacks; lead projects from ideation to global execution to fill those gaps (e.g., migrating to standardized CNI/Envoy or implementing shared GPU pools).</li>
<li><strong>Drive Efficiency at Scale:</strong> Design and implement solutions to increase fleet-wide CPU utilization (targeting 40%+) and accelerate ARM adoption to optimize Uber’s unit costs.</li>
<li><strong>Modernize for Multi-Cloud:</strong> Lead the technical strategy for "Thrive in Cloud," ensuring our foundations are resilient, active-active across providers, and support rapid regional failover.</li>
<li><strong>Integrate AIOps & Automation:</strong> Drive the development of "Agentic" infrastructure tools (e.g., Project Eve for network quality) to automate 80% of alert triaging and incident response.</li>
<li><strong>Champion "Security by Design":</strong> Ensure 100% service-to-service authorization and zero-trust networking are baked into the core fabric of our container and networking platforms.</li>
<li><strong>Cross-Functional Influence:</strong> Collaborate with Storage, Data, and Product teams to ensure the infrastructure can support 300x larger ranking models and L4 AV data ingestion.</li>
<li><strong>Mentor & Scale Talent:</strong> Act as a force multiplier by mentoring 5A and mid-level engineers, fostering a culture of "100% Done-Done" and operational excellence.</li>
</ul>
<h3><strong>Minimum Qualifications</strong></h3>
<ul>
<li><strong>8+ years of full-time Software Engineering work experience</strong> (inclusive of PhD research or equivalent specialized education).</li>
<li><strong>Expertise in Systems Languages:</strong> Deep proficiency in <strong>Go, Java, or C++</strong>.</li>
<li><strong>Distributed Systems Mastery:</strong> Demonstrated experience designing and productionizing large-scale, high-availability infrastructure services.</li>
<li><strong>Execution Excellence:</strong> A track record of leading complex, multi-quarter technical initiatives from design to fleet-wide rollout.</li>
</ul>
<h3><strong>Preferred Qualifications</strong></h3>
<ul>
<li><strong>Cloud-Native Depth:</strong> Deep knowledge of <strong>Kubernetes internals</strong>, container runtimes (CRI), and networking (CNI/Envoy).</li>
<li><strong>Infrastructure Strategy:</strong> Prior experience with hybrid-cloud or multi-cloud migrations and cost-optimization at scale.</li>
<li><strong>Linux & Kernel Knowledge:</strong> Understanding of operating systems, Linux kernel performance tuning, or eBPF.</li>
<li><strong>AI/ML Infrastructure:</strong> Experience building or managing compute platforms tailored for GPU scheduling and large-scale model training.</li>
</ul>
<p><strong>Community Influence:</strong> Contributions to open-source infrastructure projects or a history of presenting at major technical conferences.</p>
<p>For New York, NY-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Senior Program Manager, Tech - Uber AI Solutions

Program Manager, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs.

At Uber AI Solutions, we deliver high-quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber’s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human-in-the-loop solution for the industry.

We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for robotics, computer vision and related fields. This is an opportunity for the candidate to build and scale the customer mindshare and impact large-scale vision models and establish us as a leader in the AI training space.

What the Candidate Will Do:

• Client engagement for presales support - partner with Sales to interact with prospective clients (AI frontier labs, robotics & video generation companies in the physical AI space) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement
• Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them to drive ongoing governance, enable troubleshooting, find up/cross-sell opportunities, bring thought leadership with client teams
• Program delivery - help to manage the delivery of annotation, training & evaluation of AI models in the physical AI space
• Innovation and thought leadership - demonstrate deep understanding and expertise of computer vision related AI training and evaluations including robotics, video synthesis, VLA, etc., with prospective clients; leverage this expertise to drive talent strategy, tech platform and tooling, and any other relevant new capabilities to advance the maturity of this area
• Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling, and make it best in class
• Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives
• Best practices - continually improve ways of work, enhance delivery maturity, elevate governance, and impact

Basic Qualifications:

• 7+ years of overall experience, with specific familiarity in ML operations, data annotation and AI infrastructure domains
• Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation VLM, and robotics companies) for data annotation, training, evaluation and performance benchmarking.
• Experience in client-facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI/Science/Research teams
• Familiarity with strategies for delivery and QA processes in this domain is required
• Track record of driving innovation and thought leadership in AI training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends
• Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams
• Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively
• Ability to work in a global organization across locations and time zones

Preferred Qualifications:

• Education in technical domains like engineering, STEM, business management
• Deep knowledge of the AI domain - with a curious bent of mind to keep updated on, and participate in, the latest developments and research
• Strong business acumen, willingness to take smart risks, and grow
• Ability to get hands-on and go deep and be very detail-oriented where needed, and zoom out to see and manage the big picture
• Sense of ownership - self-starter who can take a charter and define goals, execute plans
• Good prioritization and time management skills

For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Principal Engineer - Evaluation & Simulation

Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

As a Principal Engineer in Evaluation & Simulation, you will drive the architectural vision and technical strategy for AV Labs' large-scale virtual testing, research, and validation platforms. In this critical leadership role, you will design and scale high-fidelity, closed-loop simulation frameworks that seamlessly combine raw and synthetic sensor data and behavioral models to rigorously evaluate state-of-the-art autonomous capabilities across millions of virtual miles. Operating as a key technical multiplier, you will define deterministic performance metrics, pioneer the generation of complex edge-case scenarios, and collaborate directly with cross-functional research teams. You aren't just building a testing environment; you are building the core evaluation infrastructure that accelerates AI research and sets the standard for uncompromising safety benchmarking across the broader AV ecosystem.

What You’ll Do

• Strategic Simulation Architecture: Lead the technical roadmap for our large-scale, cloud-based simulation platform, ensuring it can efficiently scale to run millions of closed-loop scenarios and validate complex urban edge cases
• High-Fidelity Virtual Validation: Design and oversee the implementation of advanced simulation frameworks that integrate sensor data (LiDAR, camera, radar), cutting-edge neural rendering, and highly realistic traffic agent behaviors
• Metrics & Scenario Generation: Define the deterministic and probabilistic evaluation metrics used to score autonomous behavior. Pioneer the systems used for procedural and data-driven generation of rare, long-tail edge-case scenarios
• End-to-End System Integration: Act as the crucial bridge between simulation infrastructure and the core ML stack, ensuring seamless integration so that onboard models can be trained, tested, and validated in highly accurate virtual environments prior to field deployment
• Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous software architecture, testing, and engineering excellence. You will influence the technical direction of multiple infrastructure and autonomy teams

What You’ll Need

• 10+ years of working experience in Software Engineering, Autonomous Systems, Simulation, or Robotics
• Proven experience leading the architecture and delivery of large-scale distributed systems or complex simulation platforms from conception to production
• Bachelor's degree in Computer Science, Computer Engineering, or related fields
• Expert-level proficiency in C++ and Python within Linux environments
• Deep expertise in high-performance computing, system optimization, and cloud architecture (AWS, GCP, etc.)

Bonus Points If

• Advanced degree (MS/PhD) in Computer Science, Robotics, or a related technical field
• Extensive experience building AV simulation platforms, rendering engines, or complex video game engines (e.g., Unreal Engine, Unity, custom C++ engines)
• Deep understanding of sensor modeling (Camera, LiDAR, Radar) and vehicle kinematics
• Recognized expertise in the field (e.g., relevant patents, open-source contributions, or publications)

About the Team

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

For San Francisco, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<h2><strong>About the Role:</strong></h2>
<p>Partners with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve complex problems with multiple dependencies.  This role also leads team efforts to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems.</p>
<h2><strong>About the Team:</strong><strong>(We are hiring for multiple teams)</strong></h2>
<p>We are building the future of Uber's mobility and logistics platforms. As a software engineer, you will contribute to high-scale, strategically critical systems that impact millions of users and redefine the global transportation and membership landscape.Our teams drive innovation across critical areas including:</p>
<ul>
<li><strong>Maps & Routing:</strong> Building the core technologies for location accuracy, sensor data processing, and state-of-the-art routing algorithms to power ETAs, navigation, and matching for all Uber products.</li>
<li><strong>Uber One Membership:</strong> Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
<li><strong>Delivery Marketplace:</strong> Delivery Marketplace is a central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for everything: from dispatch decisions, predicting food ready time, delivery times, and optimizing pickup times, to ensuring we deliver the most efficient and impactful solutions for Uber’s most critical business goals</li>
<li><strong>Autonomous Mobility & Delivery (AM&D):</strong> Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats.</li>
</ul>
<h2><strong>What You’ll Do:</strong></h2>
<ul>
<li>Design, build, and deploy scalable machine learning models to production to solve real-world business problems.</li>
<li>Collaborate with cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specification</li>
<li>Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.</li>
<li>Write clean, testable, and efficient code to ensure models run with low latency and high reliability.</li>
<li>Implement monitoring systems to track model performance, stability, and data drift in live environments.</li>
<li>Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment</li>
<li>Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack.</li>
</ul>
<h2><strong>Basic

Qualifications

</strong></h2>
<ul>
<li>Bachelor’s degree or equivalent in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 3 year of full-time Machine Learning work experience OR PhD in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Machine Learning work experience</li>
<li>Proficiency in at least one programming language such as Java, C++, Python, or Go</li>
<li>3 years of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale.</li>
</ul>
<h2><strong>Preferred

Qualifications

</strong></h2>
<ul>
<li>Master’s degree or higher in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field.</li>
<li>More than 5 years of full-time machine learning work experience</li>
<li>Experience with the full ML lifecycle (at Uber Scale), including model deployment, containerization and workflow orchestration.</li>
<li>Experience in translating ambiguous business problems into technical solutions in a structured and principled way.</li>
<li>Strong communication skills, including through documentation and design discussions</li>
<li>Experience with optimization techniques and algorithmic development</li>
<li>Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis</li>
<li>High bar for quality as demonstrated by code reviews, documentation, unit and integration testing</li>
</ul>
<p>For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Staff Software Engineer - iOS

iOS, Engineering

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

As a Staff Mobile Engineer on the Autonomous Mobility & Delivery (AM&D) team, you will define and drive the technical strategy behind Uber’s next-generation rider, eater, and merchant experiences in an autonomous world. Our mission is to enable safe, informative, and magical customer experiences without human driver interaction, while scaling AV commercialization globally.

This is an organization-level technical leadership role. You will operate across iOS and Android surfaces, shaping mobile architecture, influencing multi-team execution, and ensuring that our mobile platforms can support evolving autonomous and marketplace dynamics. You will partner deeply with backend, marketplace, AV integration, product, design, operations, and external partners to deliver cohesive, end-to-end experiences.

Beyond shipping features, you will anticipate long-term architectural needs, identify systemic gaps, and design durable solutions that increase developer velocity, reduce technical debt, and improve reliability across teams. You will lead complex, multi-quarter initiatives from inception through production, ensuring strong execution discipline and operational excellence.

This role is ideal for a mobile technical leader who thrives in high-ambiguity, zero-to-one environments and wants to shape both product direction and engineering standards at scale.

What You Will Do

1. Define and drive the long-term mobile technical strategy across iOS and Android for Autonomous Mobility & Delivery experiences
2. Lead large, cross-team initiatives from ideation through design, implementation, launch, and operational ownership
3. Architect scalable, modular, and maintainable mobile systems that support evolving autonomous and marketplace use cases
4. Anticipate future product and architectural needs, proactively addressing scalability, performance, and reliability challenges
5. Establish and promote mobile engineering best practices across architecture, testing, release processes, observability, and incident management
6. Partner closely with product, design, backend, marketplace, and operations teams to deliver cohesive, end-to-end customer experiences
7. Drive metrics-based execution, ensuring features are instrumented, measurable, and aligned with core business KPIs
8. Improve engineering velocity and quality by reducing technical debt and strengthening development workflows
9. Mentor senior engineers, elevate technical decision-making across teams, and raise the hiring bar through high-quality interviewing and feedback

---- Basic Qualifications ----

1. 5+ years of professional software engineering experience
2. 5+ years of hands-on mobile development experience in iOS and/or Android
3. Proven track record leading cross-team, multi-quarter technical initiatives from concept through production
4. Demonstrated experience defining and evolving mobile architecture in large-scale, consumer-facing applications
5. Strong expertise in modern mobile architecture patterns, modularization strategies, state management, and performance optimization
6. Experience driving metrics-based product development with strong reliability and quality guardrails
7. Experience improving engineering standards across teams, including code quality, testing strategy, release processes, and operational excellence
8. Strong cross-functional collaboration skills, with experience partnering with product, design, backend, and operations stakeholders

---- Preferred Qualifications ----

1. Experience building and scaling large consumer mobile platforms in transportation, mobility, logistics, or other real-time systems
2. Experience leading cross-platform architectural alignment across iOS and Android teams
3. Deep experience with experimentation frameworks, funnel optimization, and data-informed product iteration
4. Experience modernizing legacy mobile codebases while maintaining high product velocity
5. Experience designing mobile systems that integrate tightly with complex backend and marketplace platforms
6. Background working in fast-changing, zero-to-one product environments
7. Experience mentoring senior engineers and developing future technical leaders
8. Experience contributing to executive-level technical strategy discussions and org-wide engineering planning

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Software Engineer - Communications Platform (Backend)

Backend, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Communications Platform at Uber is responsible for building technology that enables a seamless communication channel technology that will facilitate both realtime & offline communications among Uber & its user community. This team focuses on providing a high performing, secure, reliable, and resilient ecosystem for seamless communications to all our users (Riders, Drivers, Eaters, Couriers, Restaurants, etc) through automated and innovative solutions.

We are seeking a passionate and experienced Senior Software Engineer to join our Communications Platform and Comms AI teams. In this critical role, you will be responsible for architecting and building highly scalable, highly-available, mission-critical systems that power the daily communications experience for millions of Uber users.

This is a unique opportunity to build a technical and architectural vision, creating an impact by delivering the next generation communication experience, across choice of channels, for a variety of marketplace products/consumers across Uber’s global offerings, disrupting the gig economy.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Design, build, and maintain the large-scale, intelligent communication infrastructure that supports essential business use cases and cutting-edge agentic AI experiences across Uber.
2. Collaborate closely with senior engineers and cross-functional teams in Product, AI/ML, and other platform teams.
3. Unlock the full potential of Uber’s connected data to significantly enhance our communication channels.
4. Drive the technical and architectural vision for the next generation of communication experiences.
5. Create impact by delivering communication solutions across various channels for a wide range of marketplace products and consumers, disrupting the gig economy on a global scale.

---- Basic Qualifications ----

1. Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related field.
2. 4+ years of hands-on software engineering experience.
3. Proficiency in Python, Go, or a general-purpose language such as Java.
4. Familiarity with microservices and API design.
5. Passion for building performant and scalable systems.
6. Strong communication and collaboration skills.
7. Demonstrated drive, resilience, and a deep sense of ownership.

---- Preferred Qualifications ----

1. Experience with communications technologies and channels such as SMS, Voice, Email, WhatsApp, or other emerging platforms.
2. Experience leveraging GenAI tools for tasks like code generation, AI-driven coding agent development, or using AI to accelerate project delivery.
3. Experience with GenAI in the Automatic Speech Recognition (ASR), Speech-to-Text models, or voice bot development space.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>End-to-end product development from data analytics, modeling and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.</p>
<h4><strong>We are hiring for multiple teams</strong></h4>
<p>We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas including:</p>
<ul>
<li><strong>Delivery Marketplace</strong>: A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.</li>
<li><strong>Maps</strong>: Building the geospatial technologies for all of Uber, including travel time prediction (ETA), routing, search & ranking, pickup & dropoff recommendation, and trip intelligence. The outputs power marketplace systems like pricing & matching and the core trip experience.</li>
<li><strong>Uber One Membership</strong>: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
<li><strong>Experimentation Platform</strong>: Building the experimentation platform and the underlying measurement models at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.</li>
<li><strong>Autonomous Mobility & Delivery (AM&D)</strong>: Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats.</li>
</ul>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference.</li>
<li>Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.</li>
<li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.</li>
<li>Design and analyze experiments, present results that provide actionable recommendations.</li>
<li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.</li>
<li>Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.</li>
<li>Owning the product development cycle end to end from data and science aspects.</li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>2+ years of industry experience as an Applied or Data Scientist or equivalent (not required with Ph.D.).</li>
<li>Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)</li>
<li>Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models</li>
<li>Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.</li>
<li>Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators</li>
</ul>
<p><strong>Preferred Qualfications</strong></p>
<ul>
<li>Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.</li>
<li>Excellent communication and collaboration

skills

Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams</li>
<li>Experience in leading key technical projects and substantially influencing the scope and output of others</li>
<li>Thought leadership to drive multi-functional projects from concept to production.</li>
<li>Experience in large-scale marketplace algorithm design, membership / consumer growth, or experimentation platform.</li>
<li>Experience with exploratory data analysis, statistical analysis and model development</li>
<li>Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala</li>
</ul>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

The group you’ll be a part of

The Enterprise AI team within Office of CTO is a centralized, high impact group responsible for developing, scaling, and evangelizing AI capabilities across Lam Research. The team partners closely with product managers, engineering teams, business units to deliver AI-enabled solutions that drive measurable business value and accelerate Lam’s digital transformation.

We are seeking a highly skilled and versatile Data Science / AI / ML Lead to lead the development of advanced AI/ML solutions, including but not limited to statistical modeling, computer vision, LLM/RAG workflows, optimization, and domain-specific modeling. This role works closely with product managers, forward deployed engineers, data engineers and AI/ML development engineers, translating high priority business challenges into robust, secure and explainable AI solutions aligned to business needs.

The ideal candidate combines deep technical expertise with strong stakeholder engagement skills, enabling them to act as a technical advisor, evangelist, and multiplier for AI capabilities across Lam.

The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.

What you’ll do

AI/ML Technical Leadership

• Develop, evaluate, and deploy state‑of‑the‑art ML/AI models including traditional ML, deep learning, computer vision, time-series forecasting, and LLM‑based systems.
• Develop and maintain enterprise-grade ontologies that model the complex domain of semiconductor engineering.
• Guide the use of OOTB foundation models and platforms, while leading development of custom solutions when needed (e.g., vision models, domain‑specific fine‑tuning).
• Evaluate and integrate emerging AI technologies, frameworks, and tools aligned with business requirements and value-driven mindset.

Technical Execution & Modeling Excellence

• Perform advanced data analysis using statistical and scientific methods; build proof‑of‑concept models that scale to production deployments. Mine and analyze large-scale datasets to drive operational insights, optimization opportunities, and KPI improvements.
• Work with domain experts and ML engineers to develop feature stores, automated pipelines, and efficient MLOps workflows to speed up experimentation & model serving
• Design and integrate ontology aware retrieval and reasoning (e.g., schema‑aware RAG, graph‑augmented retrieval, controlled vocabularies for prompts and tools) that grounds AI/ML systems (including LLMs, RAG pipelines, agents, and traditional ML) in consistent, machine‑interpretable business meaning.
• Establish measurable success criteria for ontology effectiveness (e.g., reduced ambiguity, improved retrieval accuracy, explainability, reuse across use cases)

Cross-functional Collaboration

• Work with platform teams to deploy scalable models using cloud infrastructure (e.g., Databricks, Azure ML, Azure foundry, feature stores, model registries).
• Collaborate with software engineering teams to integrate models into applications and product workflows.
• Support internal communities of practice; mentor data scientists and engineers to propagate best practices.
• Act as a trusted technical advisor to business units on AI best practices, solution patterns, and technology selection.
• Develop and deliver training, demos, and internal enablement resources to uplift AI proficiency across Lam.

Who we’re looking for

• Minimum of 15 years of related experience with a Bachelor’s degree; or 12 years and a Master’s degree; or a PhD with 8 years experience; or equivalent experience.
• Strong in presenting data and analysis in a visually intuitive way to a broad set of stakeholders (technical and non-technical)
• Demonstrated breadth of understanding applicability of various ML/DL methods to various domains (e.g. time-series, vision etc.)
• Solid understanding of various ML and DL frameworks and in-depth understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Demonstrated expertise with Transformer architectures — including attention mechanisms, encoder–decoder designs, and fine‑tuning foundational models for NLP, CV, or multi‑modal tasks.
• Hands‑on experience building and optimizing Transformer‑based systems, including RAG pipelines, embedding models, vector databases, and efficient inference techniques.
• Deep expertise in ontology design, semantic modeling, knowledge graphs, or domain-driven data models.
• Hands-on experience with semantic modeling standards and techniques (e.g., ontology schemas, taxonomies, semantic constraints) and their practical application in enterprise AI systems.
• Strong programming experience in python with demonstrated experience in package development (or open-source projects, hackathons etc.)
• Strong in data/feature engineering with Pandas/PySpark etc.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Salary

CA San Francisco Bay Area Salary Range for this position: $166,000.00 -  $350,000.00.

The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.