Software Engineer I/II, Machine Learning

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$130K-$190K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

37% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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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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