Job Summary

We are looking for a research scientist to design, coordinate, execute, and monitor research studies that enable the development and evaluation of large language models (LLM). In this role, you will work with teams of Data Scientists, Product Managers, Engineers, and others to design and execute research testing on how humans evaluate LLM features. You will combine broad skills in survey/experimental design, machine learning, statistical analysis, and programming. You will impact customer-facing experiences by delivering exciting oral, written, and visual presentations about our findings.

Key Qualifications

• Strong understanding of machine learning principles.
• Advanced user of Python, R, or similar, for data analysis and experience with SQL.
• Expertise in survey/experiment design and methodology.
• Can own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out projects.
• Strong verbal and written communication skills with the ability to work effectively across internal and external organizations and virtual teams.
• Strongly Preferred: knowledgeable about LLMs, including techniques for alignment (e.g., Supervised Fine Tuning, Reinforcement Learning with Human Feedback) and evaluation (e.g., human evaluation, automated benchmarks).

Education

Ph.D. or Master’s degree (Ph.D. preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Computer Science, Machine Learning, Statistics, Social Science, Human-Computer Interaction, or related field.

Must-Haves

Minimum 3 years of experience in the below:

• Strong understanding of machine learning principles.
• Advanced user of Python, R, or similar for data analysis and experience with SQL.
• Expertise in survey/experiment design and methodology.
• Strong verbal and written communication skills with the ability to work effectively across internal and external organizations and virtual teams.
• Strongly Preferred: knowledgeable about LLMs, including techniques for alignment (e.g., supervised Fine Tuning, Reinforcement Learning with Human Feedback) and evaluation (e.g., human evaluation, automated benchmarks).

Nice to Haves

PhD or Master’s degree (PhD preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Computer Science, Machine Learning, Statistics, Social Science, Human-Computer Interaction or related field.

Job Type: Full-time

Salary: $80.00 - $100.00 per hour

Expected hours: 40 per week

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Compensation package:

• Hourly pay

Experience level:

• 10 years
• 4 years
• 5 years
• 6 years
• 7 years
• 8 years
• 9 years

Schedule:

• 8 hour shift
• Monday to Friday

Education:

• Master's (Preferred)

Experience:

• Python: 3 years (Preferred)
• R: 3 years (Preferred)
• Machine learning: 5 years (Preferred)

Ability to Relocate:

• New York, NY: Relocate before starting work (Required)

Work Location: In person