N
NewsBreak
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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