Senior Backend Engineer, Generative AI Platform and Systems, Special Projects

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $255k
$149k most similar roles pay here $344k

This role pays more than 90% of similar roles. Most pay $167,537–$246,150 — the shaded band above. At the midpoint, this role pays about $255k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Backend Engineer, Generative AI Platform and Systems, Special Projects

As a Senior Backend Engineer - Generative AI Platform and Systems - Special Projects, you will join an innovation-focused team building tooling for model evaluation. This role involves developing platforms that serve the integrations between robotics, generative AI, and data analysis. You will be responsible for designing, scaling, and operating core infrastructure components while influencing architectural decisions to ensure systems are reliable and performant. Your daily work includes implementing Python tooling and large systems for user-facing applications to accelerate model evaluation, testing, and validation. You will also integrate various models to improve the capabilities of systems employing machine learning. The role requires expertise in Kubernetes, cloud-native technologies, relational database systems, and large-scale web development. Key technical focuses include API design, developer experience, and moving AI systems from advanced research into production environments.

What you'll do

  • Build backend and infrastructure systems using Kubernetes and cloud-native technologies.
  • Design, scale, and operate internal platforms for model evaluation.
  • Own core infrastructure components and influence architectural decisions for system reliability and performance.
  • Develop Python tooling and large-scale systems to accelerate model testing and validation.
  • Integrate various models into systems to improve capabilities of machine learning applications.
  • Prototype and iterate on new ideas to deliver high-quality implementations for cross-functional partners.
  • Build tools that facilitate integrations between robotics, generative AI, and data analysis.

What we're looking for

  • BS/MS/PhD in Computer Science or a related field.
  • Strong Python development experience.
  • Strong experience with infrastructure, cloud-native platform engineering, and Kubernetes deployment.
  • Experience with relational database systems.
  • Experience with large-scale web development.
  • Industry experience bringing AI systems from advanced research to production.
  • Excellent team collaboration and communication skills.
  • Experience with React.js, ML systems, robotics, embodied AI, or LLMs (preferred).

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