Senior Staff ML Engineer - Personalization & Growth

Uber; Sunnyvale (CA); On-site; USD 267,000 - 297,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Various benefits

Job summary

Uber is seeking a Senior Staff Machine Learning Engineer to shape the ML strategy for Consumer Incentives in Sunnyvale. You will translate research advances into reliable products, lead cross‑team efforts, and drive measurable business impact at scale across hundreds of millions of users.

You will define the long‑term ML vision, own the roadmap, and mentor engineers while exploring reinforcement learning, foundation models, and generative AI to advance personalized incentives and optimization.

Qualifications

• 12+ years in ML with deep learning systems ownership.
• Proven ability to set technical strategy and influence roadmaps.
• Strong product intuition linking models to business outcomes.

Responsibilities

• Define long-term ML vision and roadmap for Consumer Incentives.
• Lead cross-team initiatives from problem framing to production deployment.
• Design models that improve incentive relevance and impact.
• Architect scalable ML systems including data pipelines and monitoring.
• Establish rigorous evaluation and causal measurement practices.
• Explore reinforcement learning, foundation models, and generative AI.
• Mentor engineers and raise technical decision-making quality.

Skills

ML leadership

Large-scale DL systems

Experimentation design

Optimization

Applied ML strategy

Education

Masters or PhD in CS/Engineering/Math

Job description

Uber is seeking a Senior Staff Machine Learning Engineer to shape the ML strategy for Consumer Incentives in Sunnyvale. You will translate research advances into reliable products, lead cross‑team efforts, and drive measurable business impact at scale across hundreds of millions of users.

You will define the long‑term ML vision, own the roadmap, and mentor engineers while exploring reinforcement learning, foundation models, and generative AI to advance personalized incentives and optimization.