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Research Scientist

Unreal Gigs

San Francisco, california


Job Details

Full-time


Full Job Description

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.

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