Research Assistant, Health Policy and Management
John Hopkins University
Research Scientist, LLM-Driven Product Understanding
Netflix
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $400,000 - $960,000 per year
Job Level
Mid-LevelSenior
About the role
- Research, develop, and iterate on LLM-as-a-Judge prototypes and offline LLM evaluation systems
- Drive own roadmap, determining areas for rapid iteration or deeper development
- Create insights to shape future member-facing investments by influencing the broader Product team
- Collaborate with Data Scientists, ML Scientists, and Engineers
- Stay updated with LLM advancement research and implement new best practices and methodologies
Requirements
- Strong foundation in deep learning and LLMs
- Proven hands-on industry experience in improving large generative models and model evaluation
- Substantial relevant industry experience building scalable ML models
- Experience in natural language processing and machine learning
- Advanced degree (PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence, or computer vision
- Flexibility with approach, able to pivot between research goals and implementing end-to-end solutions
- Excellent problem-solving skills with innovative solutions
- Excellent communicator capable of explaining complex technical details to both technical and non-technical audiences
- Thrives in fast-paced, dynamic environments with ambiguity.
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
deep learningLLMslarge generative modelsmodel evaluationscalable ML modelsnatural language processingmachine learningartificial intelligencecomputer vision
Soft skills
problem-solvingcommunicationflexibilityinnovationadaptability
Certifications
PhD in Computer SciencePhD in Electrical Engineering
