AI Research Engineer 6 – TL, Algo Core – AI for Member Systems

🕒 August 8

🇺🇸 United States – Remote

💵 $600k - $1.1M / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Drive the team’s technical vision and roadmap for reward modeling, utility estimation, and multi-objective optimization, including auction-based and constrained-optimization approaches to allocating promotional real estate • Drive cross-functional partnerships with Merchandising, Ads, MECS, Product, and Data Science & Engineering to align AI/ML capabilities with business priorities • Partner with the Personalization Foundations team to integrate and leverage the utility layer, reward signals, and multi-objective optimization across all member-facing AI models • Design and run rigorous offline experiments and A/B tests to validate the impact of new reward, utility, and multi-objective optimization systems on key business and member-experience metrics • Contribute to the team’s technical culture through mentorship, code review, and raising the bar on engineering practices

🎯 Requirements

• 6+ years of experience applying machine learning in an industry setting, with a track record of delivering impactful production systems • Experience driving successful partnerships with both technical and nontechnical stakeholders • Master’s or PhD in a computational field such as computer science, statistics, math, operations research, or physics • Deep expertise in ML and optimization algorithms and frameworks, with hands-on experience training, tuning, and deploying models in production • Experience with reward modeling, utility estimation, or constrained-optimization and auction-based allocation systems • Strong software engineering skills in Python, plus experience with Scala or Java • Strong 80/20 mindset: ability to scope the right problem, ship pragmatically, and maintain rigorous standards without over-engineering

🏖️ Benefits

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings Accounts • Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off