Staff Machine Learning Engineer, Recommendation & AI Platform

NewsBreak • Mountain View, CA

1h • $230,000 - $300,000

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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

• 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 benefits programs
• Team activity budget

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees