HHiring Reality
← Dyno Therapeutics

Sr. Machine Learning Engineer - Machine Learning

Dyno Therapeutics
Location
Remote; Watertown, Massachusetts, United States
Posted
1 month ago
Department
Machine Learning
Salary
$178,662.29 – $213,680.10
What they actually want (must-haves)
  • 5+ years professional experience building software for machine learning
  • Strong software engineering fundamentals (OO design, testing, version control, dependency management, API design)
  • Experience containerizing code for remote environments including hands-on experience with Docker and Kubernetes
  • Experience with large-scale distributed training or inference with Ray or a similar framework
  • Familiarity with ML performance engineering (identifying bottlenecks, analyzing resource usage, profiling, writing custom kernels)
  • Experience designing and owning technically complex systems through requirements-setting, implementation, rollout and maintenance
Nice to have
  • Professional or academic experience in ML research / scientific computing
  • Experience building internal platforms and/or developer tools
  • Familiarity with common MLOps tools and practices (model monitoring, model versioning, CI/CD, model registries)
  • Experience with GPU programming (CUDA, Triton, etc).
  • Highly proficient in agentic and usage of modern AI tools for software development
What the job really is

As a Sr. Machine Learning Engineer at Dyno Therapeutics, you will focus on building and scaling machine learning infrastructure and tools that support genetic medicine research. Your role involves collaborating with AI scientists and engineers to develop robust systems for model training and inference, optimizing performance, and standardizing AI workflows. You will also contribute to the technical direction of projects and stay updated on emerging ML tools.

Benefits
  • Competitive compensation & equity
  • Annual performance-based bonus
  • Stock options
  • Comprehensive medical, dental, and vision coverage
  • 401(k) plan
  • Flexible paid time off and holidays
Things to weigh
  • No specific mention of remote work policies beyond location flexibility
  • The role requires a proactive and adaptable mindset, which may indicate a fast-paced environment
  • The company emphasizes a high-expectation culture, which may not suit everyone
Job score4.6/5
Benefits4/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency5/5

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