Software Engineer I/II, Machine Learning
Iambic Therapeutics - Boston Office, Boston, MA, US
Posted Jun 8, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
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- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
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Market context
- Median wage (BLS OEWS)
- $111,944 national median
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
30% above the BLS national median for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Engineer I/II, Machine Learning Boston Office, Boston, MA, US JOB SUMMARY We are seeking a talented and motivated ML Software Engineer (I/II) to join the software platform group at Iambic Therapeutics. You will build, deploy, and operate ML systems that power our drug discovery efforts. You will work with our multi-disciplinary team to make production ML lifecycle workflows (training/finetuning, evaluation, inference), streamline deployment of GPU-accelerated applications, and collaborate with ML scientists to translate models into reliable, scalable software. This position will be Hybrid and located in our Boston, MA office. (Back Bay) KEY RESPONSIBILITIES - Design, implement, and maintain production-grade ML workflows (fine-tuning, batch/online inference, evaluation) with strong observability and CI/CD. - Deploy GPU-accelerated ML services and jobs using modern tooling and cloud-based orchestration. - Collaborate with ML scientists and cross-functional teams to capture requirements, scope milestones, and deliver features into user workflows and services. - Conduct code reviews and mentor peers on software engineering and MLOps best practices. QUALIFICATIONS - Engineer I: Minimum of 5 years of related experience with a Bachelor's degree in a scientific field; or 3 years and a Master's degree; PhD with 0-3 years of experience or equivalent work experience. - Engineer II: 8+ years relevant experience with a bachelor's degree in a scientific field; or PhD with 3+ years; or equivalent experience. - Strong modern Python development (packaging, type hints, testing, performance), with experience in building production services and libraries. - Hands-on with ML model lifecycle and tooling (e.g. PyTorch, Hugging Face, vLLM/Triton/ONNX
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