
ML Engineer — Recommendations
- Salary
- $170k – $240k / year
- Type
- Full-time
- Location
- Los Angeles, CA · Los Angeles (California) · Hybrid
- Valid through
- 11/3/2026
Additional details
- Posted
- Posted 1 day ago
- Applications
- 23
- on Ganloss
- Experience
- Mid · 3+ years
- Education
- BS/MS CS, ML, or equivalent experience
- Region
- California
- Team
- Netflix — AI team
- Company size
- 12000+
- Founded
- 1997
Job description
Netflix is hiring a ML Engineer — Recommendations (Full-time) hybrid. This machine learning engineer role is part of the AI hiring market in Los Angeles (California). Large-scale personalization and ranking for Netflix members — Los Angeles studio tech hub. Listed compensation: $170k – $240k / year. Stack: Recommendations, Ranking, Python, LA.
Machine Learning Engineer profiles are in high demand in Los Angeles: Los Angeles spans entertainment ML, computer vision, and consumer AI product teams across media and gaming.…
The team
Netflix — AI team
Responsibilities
- Deliver production ML/LLM capabilities with measurable quality bars
- Partner with product and infra on roadmap and reliability
- Document evals, monitoring, and rollout practices
Requirements
- 3+ years shipping ML, LLM, or data systems in production
- Strong Python or TypeScript and clear written communication
- Comfort with responsible AI and operational excellence
Tech stack
Benefits
Hiring process
- 1Recruiter screen
- 2Technical interview
- 3Team conversation
- 4Offer
Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience
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FAQ — ML Engineer — Recommendations
- What is the salary for ML Engineer — Recommendations at Netflix?
- Listed range: $170k – $240k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
- Where is the ML Engineer — Recommendations role based?
- Los Angeles, CA, Los Angeles (California). Work mode: Hybrid.
- How do I apply to Netflix?
- Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0013. Process: Recruiter screen → Technical interview → Team conversation → Offer.
- Is Netflix hiring other AI roles?
- Netflix (Media & ML) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.
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