
Machine Learning Scientist 4 – Generative Models, Evaluation
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Monitor developments in LLM and generative model research, converting them into tangible opportunities.
• Utilize cutting-edge techniques to enhance summarization quality and LLM-based evaluators for assessing generated content.
• Oversee the complete ML development process, encompassing research, model training, and evaluation.
• Collaborate with ML scientists and engineers to integrate models into business applications and platforms.
• Simplify complex technical concepts for both technical and non-technical stakeholders.
• Serve as a subject matter expert to pinpoint high-impact opportunities and outline and implement roadmaps.
• Engage with both internal and external ML communities to learn, educate, and enhance the Netflix brand.
• Proven track record of following LLM/generative model literature and recognizing advancements applicable to real business challenges.
• Strong background in ML and Deep Learning, particularly in Natural Language Processing / Understanding and Generation.
• Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is highly advantageous.
• Experience with vision models, such as diffusion models, is a plus.
• Proficiency in one or more LLM post-training techniques.
• Documented success in designing, conducting, and analyzing rigorous experiments from hypothesis development to statistical validation of results.
• 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 accumulate 35 days annually for paid time off, applicable for vacation, holidays, and sick leave.
• Full-time salaried employees are entitled to flexible time off immediately.
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