AI Research Engineer

Boston, Massachusetts, United States

Code Metal

Automate your edge development with CodeMetal. Experience seamless coding and deployment from research to edge in your preferred language. Code with comfort, deploy with ease.

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Role Description:

Our mission is to enable hardware innovation at the speed of software development! We are working towards automatic code transpilation and optimization for any hardware application. Our work integrates cutting-edge methods in AI, formal verification, compilers, and much more.

In this role, you will collaborate with a small team of talented researchers on ambitious, greenfield projects in GenAI and RL.

Research Areas of Interest:

An incomplete list of ongoing and near-term research directions:

  • Large-scale LLM post-training / finetuning
  • RLHF, RLAIF, etc
  • Decoding-time techniques for self-correction and repair
  • Steerability, guided decoding, and constraint enforcement
  • Code representations and similarity

Core Responsibilities:

  • Help build robust, scalable infrastructure and tooling
  • Contribute to core models and frameworks
  • Design, execute, and analyze experiments
  • Create high-quality datasets (both in-the-wild and generated)
  • Perform literature reviews and implement new techniques from papers
  • Contribute to publications and grant proposals
  • Present at conferences, workshops, etc.

Requirements

Required Qualifications:

  • Bachelor's degree in Computer Science or a closely related field
  • At least one of the following: a) 1+ years in an AI research or product role (academic positions included, if full-time) with a track record of training and deploying deep learning models, or b) 3+ years in a full-stack software engineering role
  • Comfortable programming in Python and familiar with frameworks such as PyTorch and HuggingFace (either professionally or as part of a side project)

Preferred Qualifications:

  • Advanced degree in Computer Science or a closely related field
  • Lead author publications at peer-reviewed conferences such as NeurIPS, ICLR, ICML, etc.
  • Experience with large-scale LLM training, particularly in a distributed computing environment

Benefits

Competitive salary and benefits including:

  • Health care plan (medical, dental, and vision)
  • Retirement plan (401k, IRA) with employer matching
  • Unlimited PTO
  • Flexible hybrid work arrangement
  • Relocation assistance for qualifying employees
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science Deep Learning Engineering Generative AI HuggingFace ICLR ICML LLMs NeurIPS Python PyTorch Research RLHF

Perks/benefits: 401(k) matching Career development Competitive pay Conferences Flex hours Flex vacation Health care Relocation support Unlimited paid time off

Region: North America
Country: United States

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