Sr. Machine Learning Engineer - Machine Learning
Dyno Therapeutics · Remote; Watertown, Massachusetts, United States
Posted 29 days ago · $178,662.29 – $213,680.10
or apply directly on Dyno Therapeutics's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 29 days Dyno Therapeutics's roles stay open a median of 35 days
- Reposted
- No
- Salary listed
- Yes 100% of Dyno Therapeutics's roles list one
- Ghost-job risk at Dyno Therapeutics
- moderate 1 stale, 0 reposted of 3 open
- Hiring momentum
- 4 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Dyno Therapeutics's own greenhouse board since 2026-08-03. Full hiring picture for Dyno Therapeutics.
About this role
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
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Dyno Therapeutics as an employer.
What you need
- 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 you get
- Competitive compensation & equity
- Annual performance-based bonus
- Stock options
- Comprehensive medical, dental, and vision coverage
- 401(k) plan
- Flexible paid time off and holidays
Worth weighing
- 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
Summarised from Dyno Therapeutics's posting. Read the full original.
Listed by Dyno Therapeutics on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.