AI/ML Engineer, Platform and Agents
HybridWaltham, Massachusetts, United States
Job Summary
Build internal AI agents and workflow tools that help scientists query data, interpret model outputs, and make design decisions. Integrate synthesis, assay, ELN/LIMS, and computational data into model-ready layers supporting repeatable learning loops. Orchestrate lab-in-the-loop modeling workflows connecting design, synthesis, testing, analysis, and next-round recommendations. Partner with lab automation and scientific software colleagues to improve data capture and traceability. Build applications, APIs, and data services exposing ML capabilities to scientific users while maintaining internal ownership of scientific requirements. Contribute to platform governance and documentation for model use in project decisions. Work with outsourced infrastructure partners to ensure strong scientific control.
Required Qualifications
- AI/ML Engineer, Scientific Software Engineer, or Platform Engineer
- degree in Computer Science, Bioengineering, Data Science or a related discipline
- Strong programming skills in Python
- experience building production-quality scientific software
- experience building data pipelines
- experience building APIs
- experience building internal workflow tools
- Experience building AI agents
- experience building LLM-enabled scientific tools
- experience building workflow orchestration systems
- experience building model serving applications
- Familiarity with biological, chemical, assay or laboratory data
- Good judgment about build-versus-buy tradeoffs
- vendor management
- Experience working in matrixed teams of scientists, engineers and operations colleagues
- Demonstrated effective problem-solving skills
- strong organization
- clear communication across scientific and technical teams
- Experience integrating data from databases
- Experience integrating data from APIs
- Experience integrating data from ELN/LIMS systems
- Experience integrating data from instrument outputs
- Experience integrating data from cloud data stores
- Experience integrating data into reliable internal applications
- Flexibility with regard to working hours
- The position is full time
- based at the company's headquarters in Waltham, Massachusetts, USA
Desired Qualifications
- Experience with MLOps
- experience with model-serving patterns
- experience with feature stores
- experience with metadata tracking
- experience with reproducible ML workflow infrastructure
- Experience building scientist-facing tools in pharma
- Experience building scientist-facing tools in diagnostics
- Experience building scientist-facing tools in synthetic biology
- Experience building scientist-facing tools in chemistry
- Experience building scientist-facing tools in lab automation
- Ability to define a platform data model that supports synthesis, assay, sequence, structure, target and program-level decision workflows
- Experience scaling a greenfield scientific platform from early prototypes to repeatable workflows used across multiple discovery programs
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