At a glance
AI generatedTL;DR
Join the Trusted Identity Applied Science team at Uber as an Applied Machine Learning Scientist where you will design and deploy advanced ML models, including deep learning and NLP solutions, to detect and mitigate identity fraud across all lines of business. You will leverage supervised and unsupervised techniques for threat detection, conduct rigorous offline evaluations, and collaborate with engineering teams to move models from prototype to production. Additionally, you will build internal data tools to automate manual tasks and empower analysts with real-time anomaly detection capabilities. This role requires a strong background in machine learning, statistics, and generative AI, along with expertise in Python or R for model development and proficiency in PyTorch or TensorFlow. Ideal candidates have experience in risk and fraud domains and can effectively communicate technical trade-offs to both engineering and business stakeholders.
Skills
What you'll do
- Design and deploy ML models to detect and mitigate identity fraud on the Uber platform.
- Utilize supervised and unsupervised techniques to identify emerging threat vectors in real-time.
- Conduct offline evaluations and A/B testing to balance fraud prevention with user experience.
- Own the full lifecycle of ML models, from prototype to production deployment.
- Build internal data tools for automated detection tasks and real-time anomaly detection.
- Translate complex findings into actionable product strategies in collaboration with multidisciplinary teams.
What we're looking for
- Masters or PhD in a quantitative field with deep knowledge in statistics and machine learning.
- Expertise in designing and deploying ML models using PyTorch or TensorFlow.
- Strong analytical skills to translate business problems into technical solutions.
- Proficiency in Python/R for data science and model development, SQL for data manipulation.
- Experience in building and evaluating models for risk and fraud detection.
Employer
About Uber
Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
Uber currently has 30 open roles on FindRole.
Listed pay typically runs $180,000–$180,000 across 17 roles with salary data.
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