Research Scientist

Overview

Are you passionate about investigating the fundamental questions of intelligence, knowledge, and understanding? As a Research Scientist, you will collaborate with internal and external researchers to develop software with human-level intelligence. You will be supported by a team of research engineers as you explore cutting-edge research areas and contribute to our mission of advancing artificial intelligence.

Research Areas of Interest

• Reinforcement Learning (RL) methods for Large Language Models (LLMs)
• Code verification and test generation
• Improvements to chain of thought processes
• Decoding time algorithms for LLMs
• Synthetic data generation
• Language model interfaces to code

Responsibilities

• Research Leadership: Investigate fundamental questions of intelligence, knowledge, and understanding to develop human-level AI.
• Collaboration: Work collaboratively with internal and external researchers to advance our research goals.
• Mentorship: Mentor a small team of research engineers, guiding their development and contributions.
• Experimentation: Design and run machine learning experiments to test hypotheses and advance understanding in the research areas of interest.
• Communication: Clearly communicate research ideas and intuitions to both technical and non-technical audiences.

Program Coordination: Create and coordinate a research program to address key research questions effectively.

Requirements

• Accomplished Researcher: A highly accomplished machine learning researcher with a track record of high-quality papers at top conferences (e.g., NeurIPS, ICML, ICLR) or equivalent accomplishments in the industry.
• Research Question Design: Skilled at formulating research questions that clarify the nature of the problem and coordinating a program to answer them.
• Experimentation Expertise: Extremely comfortable designing and running machine learning experiments.
• Effective Communicator: Able to articulate ideas and intuitions clearly and effectively.
• Mentorship Ability: Excited to mentor and develop a small team of research engineers.

Requirements

Required Skills:

• Python programming
• PyTorch and training deep neural networks
• Open source code development
• Conducting experiments and testing research-based improvements
• Understanding of LLM knowledge and inference
• Working with infrastructure for monitoring and logging
• Improving training and evaluation datasets
• Accomplished machine learning researcher (e.g., high-quality papers at top conferences like NeurIPS, ICML, ICLR, or equivalent industry accomplishments)
• Creating research questions and coordinating research programs
• Running ML experiments

Benefits

Benefits

• Competitive Salary: $275,000 - $475,000 annually.
• Health Insurance: Premium medical, dental, and vision coverage.
• Retirement Plans: 401(k) plan with company matching.
• Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
• Professional Development: Access to conferences, workshops, online courses, and tuition reimbursement for continuous learning and career growth.
• Flexible Work Arrangements: Options for remote work and flexible scheduling to support work-life balance.
• Parental Leave: Paid parental leave for new parents.
• Wellness Programs: Comprehensive wellness programs including mental health resources, fitness reimbursements, and wellness workshops.
• Employee Assistance Program: Support for personal and professional issues through our EAP.
• Stock Options: Equity options to share in the company’s success.
• Commuter Benefits: Pre-tax commuter benefits for public transportation and parking.
• Technology Stipend: Annual stipend for tech equipment and home office setup.
• Company Events: Regular team-building activities, social events, and company retreats.
• Healthcare Savings Account (HSA): Company contributions to an HSA for eligible employees.
• Life and Disability Insurance: Comprehensive life and disability insurance plans.
• Relocation Assistance: Support for relocation expenses to help you move closer to our offices.
• Childcare Support: Subsidies or reimbursements for childcare services.
• Sabbatical Leave: Eligibility for sabbatical leave after a certain period of service.
• Diversity and Inclusion: Commitment to fostering an inclusive and diverse workplace.