Code Metal
Applied AI Research Engineer
Boston Hub
Sponsorship not specifiedDetected 20 days ago
PythonAlgorithmsMachine LearningPyTorchNLPLLMsRAGAgentic AICybersecuritySignal ProcessingResearchCommunication
About the role
- You'll work closely with AI researchers, software engineers, and defense experts to turn research ideas into production-ready capabilities.
- The goal is to make complex planning, wargaming, adjudication, and analysis workflows faster, more explainable, and more trustworthy.
- An incomplete list of ongoing and near-term directions:
Responsibilities
- Design and build agentic AI systems for planning, decision support, and human-machine teaming
- Develop AI pipelines that integrate foundation models, retrieval, simulation, external tools, and deterministic software
- Design, run, and analyze experiments to evaluate model and agent performance, reliability, traceability, latency, cost, and user trust
- Fine-tune, distill, and evaluate foundation models for domain-specific planning, reasoning, and decision-support tasks
- Build datasets, retrieval pipelines, automated benchmarks, and experiment infrastructure to support continuous model improvement and reproducible research
- Partner with software engineers to transition research prototypes into scalable AI services
- Collaborate with domain experts to translate operational workflows into AI-enabled capabilities while ensuring AI outputs remain explainable, reviewable, and under human control
- Mission with impact: Build AI systems that help users reason through high-consequence operational decisions.
Requirements
- Experience with PyTorch and modern LLM tooling (Transformers, vLLM, Hugging Face, etc.).
- Experience fine-tuning, evaluating, or serving language models.
- Experience with retrieval-augmented generation, embeddings, vector search, or knowledge retrieval systems.
- Strong understanding of experiment design, benchmarking, and model evaluation.
- Ability to move quickly from research prototype to production-quality implementation.
- US Citizenship may be required for certain project assignments involving security clearance.
Skills
- Learning from human expertise through planner feedback, preferences, approvals, synthetic data generation, and human-in-the-loop improvement
Compensation
- Pay depends on experience, but we strive to be at the upper end of the salary range
Benefits
- Health care plan with 100% premium coverage, including medical, dental, and vision
- Paid Time Off (uncapped vacation, plus sick and public holidays)
- Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.
- Flexible hybrid or remote work arrangement
Equal opportunity
- equal opportunity employer.
- We are an equal opportunity employer.
Visa & Work Authorization
- security clearance
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