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Staff Machine Learning Engineer, Recommendation & AI Platform
- Mountain View, California, United States
- Mountain View, California, United States
À propos
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. 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.
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
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
The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process. Interested in building your career at NewsBreak? Get future opportunities sent straight to your email. #J-18808-Ljbffr
Compétences linguistiques
- English
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