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Sr. Machine Learning Engineer - Machine Learning

2 hours, 22 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
CI/CD Docker Git Kubernetes Machine Learning MLOps
Apply Now
Dyno Therapeutics

Dyno Therapeutics

Dyno Therapeutics is a pioneer in the application of artificial intelligence to gene therapy, specializing in AAV capsid engineering to develop high-performance genetic technologies that aim to transform patient lives and enhance the potential of next-...

Biotechnology
51-250
Founded 2018
$109M raised
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Description

  • Build modular, generalizable, and portable ML training systems for protein design models.
  • Improve the scalability, reliability, and performance of ML training and inference infrastructure.
  • Optimize model performance using GPU profiling, custom kernels, and accelerated computing frameworks.
  • Develop and standardize agentic AI workflows that improve research velocity while maintaining safety and reliability.
  • Partner with AI scientists, protein engineers, and other ML engineers to turn prototypes into robust tools and systems.
  • Contribute across the ML engineering stack, including modeling, GPU-level optimization, distributed training, and multi-node orchestration.
  • Stay current on emerging ML engineering and agentic AI tools and help evaluate and adopt new approaches.
  • Support the delivery and communication of Dyno’s work internally and externally.
  • Collaborate cross-functionally to drive results in a high-trust, high-impact environment.

Requirements

  • 5+ years of professional experience building software for machine learning.
  • Strong software engineering fundamentals, including OO design, testing, version control, dependency management, and API design.
  • Hands-on experience containerizing code for remote environments with Docker and Kubernetes.
  • Experience with large-scale distributed training or inference using Ray or a similar framework.
  • Familiarity with ML performance engineering, including identifying bottlenecks, profiling, and writing custom kernels.
  • Experience designing and owning technically complex systems from requirements-setting through implementation, rollout, and maintenance.
  • Ability to contribute to technical direction through design reviews, cross-team planning, and documentation.
  • Alignment with Dyno’s core values and comfort working in a high-expectation environment.
  • A proactive, problem-solving mindset.
  • Professional or academic experience in ML research or scientific computing (preferred).
  • Experience building internal platforms and/or developer tools (preferred).
  • Familiarity with common MLOps tools and practices, including model monitoring, versioning, CI/CD, and model registries (preferred).
  • Experience with GPU programming such as CUDA or Triton (preferred).
  • Highly proficient use of agentic and modern AI tools for software development (preferred).
  • Exposure to biology, bioinformatics, structural biology, or protein modeling (preferred).

Benefits

  • Competitive compensation with equity.
  • Annual performance-based bonus.
  • Stock options.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan.
  • Flexible paid time off and holidays.
  • On-campus gym membership, onsite lunch, commuter support, and a company-provided laptop.

Interested in this position?

Apply directly on the company website

Apply Now

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