[Hiring] Machine Learning Scientist @Iambic Therapeutics, Inc
Machine Learning Scientist @Iambic Therapeutics, Inc
Artificial Intelligence
Salary usd 148,000 - 2..
Remote Location
Employment Type full-time
Posted YDay

[Hiring] Machine Learning Scientist @Iambic Therapeutics, Inc

YDay - Iambic Therapeutics, Inc is hiring a remote Machine Learning Scientist. πŸ’Έ Salary: usd 148,000 - 210,000 per year πŸ“Location: USA, UK

Role Description

We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research, develop, and scale Enchant β€” our multimodal transformer model trained on a wide variety of biomedical data β€” pushing the boundaries of what large-scale foundation models can achieve in drug discovery. This role spans architecture research through to production deployment.

  • Research and implement architectural improvements to large-scale multimodal transformer models for biomedical applications
  • Investigate hybrid modeling approaches that combine learned representations with domain-informed structure or inductive biases
  • Optimize training pipelines for efficiency, stability, and scalability across many-GPU clusters
  • Develop and apply inference optimization techniques to support deployment in interactive discovery workflows
  • Design and maintain benchmarking and evaluation frameworks that track model quality across modalities and downstream tasks
  • Collaborate with ML and software engineering colleagues to deploy and operationalize models
  • Partner with computational chemists, medicinal chemists, and biologists to ensure model development is grounded in drug discovery needs
  • Communicate results to internal teams, external partners, and at conferences
  • Write high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity
  • Depending on level:
    • Mentor interns and junior team members through technical guidance, code reviews, and best practices in ML experimentation
    • Contribute to the strategic research roadmap for Enchant and related multimodal technologies

Qualifications

  • Required:
    • MS in ML/CS or a computational STEM field with relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth
    • Strong Python and PyTorch experience, including implementing and training deep learning models end-to-end
    • Demonstrated experience training transformer models at scale
    • Strong engineering habits: reproducible experimentation, clean code, testing, and performance-minded debugging
    • Comfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases)
  • Desired:
    • Experience with multimodal or multi-task model architectures
    • Training and inference optimization (e.g., mixed precision, kernel optimization, quantization, distributed strategies)
    • Familiarity with biomedical, chemical, or biological data domains
    • Distributed training at scale
    • HPC or large-scale training operations experience

Location

  • Remote (US or UK)
  • On-site available in Bristol, UK and Boston, US

Benefits

  • Industry leading competitive pay
  • Company paid healthcare
  • Flexible spending accounts
  • Voluntary life insurance
  • 401K matching
  • Uncapped vacation
  • Brand-new state-of-the-art facility in beautiful San Diego with an onsite gym and dining
  • Easy access to great places to live and play
Before You Apply
️
remote Be aware of the location restriction for this remote position: USA, UK
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Machine Learning Scientist @Iambic Therapeutics, Inc
Artificial Intelligence
Salary usd 148,000 - 2..
Remote Location
Employment Type full-time
Posted YDay
Apply for this position
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remote Be aware of the location restriction for this remote position: USA, UK
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
Offer Declined βœ“
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