AI Research Scientist 4/5 – Generative Models, Recommender Systems

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $300k - $537k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 0%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Track advancements in LLM and generative model research and translate them into concrete opportunities • Apply state-of-the-art techniques to summarization quality and LLM-based evaluators • Lead end-to-end ML development, including research, model training, and evaluation • Optimize generated content for member impact using recommendation systems thinking • Partner with ML scientists and engineers to integrate models into business applications and platforms • Translate complex technical concepts for technical and non-technical stakeholders • Act as a subject matter expert to identify high-impact opportunities and define and execute roadmaps • Engage with the internal and external ML community

🎯 Requirements

• Demonstrated habit of tracking the LLM/generative model literature and identifying relevant advances for real business problems • Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation • Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus • Background in vision models such as diffusion models is a plus • Expertise in one or more LLM post-training approaches • Experience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus

🏖️ Benefits

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and 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