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AI Research Engineer

Code Metal, Inc.

  • Date Posted

    Today

    New!
  • Remote Work Level

    100% Remote

  • Location

    Remote in Boston, MA

  • Job Schedule

    Full-Time

  • Salary

    We're sorry, the employer did not include salary information for this job.

  • Benefits

    Unlimited or Flexible PTO Health Insurance Dental Insurance Vision Insurance Retirement Savings Paid Time Off

  • Categories

    ITEngineeringResearchSoftware EngineerPythonQA

  • Job Type

    Employee

  • Career Level

    Experienced

  • Travel Required

    No specification

  • Education Level

    Doctorate Degree, Ph.D.

About the Role

Title: AI Research Engineer

Location: Boston, Massachusetts, United States

Remote Full time

Type: Full-time

Workplace: Fully remote

Job Description:

Our mission is to enable hardware deployment at the speed of software development. We are working towards automatic code transpilation and optimization for any hardware application.

In this role, you will collaborate with a small team of talented researchers on ambitious, greenfield projects in generative AI and reinforcement learning.

Core responsibilities:


  • Design, execute, and analyze experiments with a high degree of independence

  • Contribute to core models and frameworks

  • Create high-quality datasets (both in-the-wild and synthetic)

  • Perform literature reviews and implement new techniques from papers

  • Contribute to publications, present at conferences and workshops, etc.


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Research Areas of Interest:

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


  • Contrastive representation learning

  • Steerability and guided decoding

  • Tractable probability models

  • Code-specific architectures

  • LLM fine-tuning, post-training, RLHF

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Requirements


  • Ph.D. in Computer Science or a closely related field

  • Prior LLM research experience

  • Comfortable programming in Python and familiar with frameworks such as PyTorch and HuggingFace

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Preferred Qualifications:


  • Publications at peer-reviewed conferences such as NeurIPS, ICLR, ICML, etc.

  • Experience with large-scale LLM training, particularly in a distributed computing environment

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Benefits


  • Competitive salary

  • Health care plan (medical, dental, and vision)

  • Retirement plan (401k, IRA) with employer matching

  • Unlimited PTO

  • Flexible hybrid work arrangement

  • Relocation assistance for qualifying employee

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