Staff Machine Learning Engineer, Recommendation & AI Platform

About the Role

We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives.

This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions.

What You’ll Work On

• Technical Leadership & Architecture

• 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.

• Advanced Recommendation & AI Systems

• 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.

• AI-Native Engineering

• Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis.
• Help establish standards and shared tooling for AI-driven engineering.

• 0 → 1 Innovation & Scaling

• Lead 0–1 AI initiatives, from ideation and technical validation to production rollout and scaling.
• Ensure successful prototypes evolve into maintainable, scalable platforms.

What We’re Looking For

• Minimum Qualifications

• 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.

• Bonus / Plus Qualifications

• 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.

Benefits

We offer a competitive benefits package:

• 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

Annual Base Pay Range

$230,000 - $300,000 USD