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Staff Machine Learning Engineer

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Onsite

Staff Machine Learning Engineer

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Staff Machine Learning Engineer

Skills

Machine LearningAI

2 months ago

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Important information


Salary:

$230,000 – $300,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

12 August 2026

What they need


Who you are

  • 8+ years of industry experience building large-scale ML or recommendation systems
  • Deep expertise in recommendation systems and applied machine learning in production environments
  • Strong system design skills and the ability to influence architecture across teams
  • Proven track record of technical leadership and cross-team collaboration
  • Demonstrated success applying LLMs or foundation models to recommendation or content systems in production
  • Experience leading 0 → 1 AI platform or product initiatives
  • Passion for improving engineering velocity through AI-assisted development workflows

What the job involves

  • We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives
  • In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows
  • This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions
  • Lead the design of next-generation recommendation system architectures at scale
  • Drive best practices for model lifecycle management, experimentation, and system reliability
  • Partner with product, infra, and data teams to align technical strategy with business goals
  • Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization
  • Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling
  • Evaluate emerging AI technologies and guide their adoption into production systems
  • Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis
  • Help establish standards and shared tooling for AI-driven engineering
  • Lead 0–1 AI initiatives, from ideation and technical validation to production rollout and scaling
  • Ensure successful prototypes evolve into maintainable, scalable platforms

Benefits

  • Work from home opportunities
  • Health, dental, and vision care for you and your family
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • Paid parental leave
  • FSA and commuter benefit programs
  • Team activity budget

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