Applied AI Research Engineer
Code Metal4 months ago
Remote, United States +2 moreMid Level
Responsibilities
- Design and build agentic AI systems for planning, decision support, and human-machine teaming.
- Develop AI pipelines integrating foundation models, retrieval, simulation, external tools, and deterministic software.
- Design, run, and analyze experiments measuring 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 for continuous model improvement and reproducible research.
- Partner with software engineers to transition research prototypes into scalable AI services.
- Collaborate with domain experts to create explainable, reviewable, and human-controlled AI-enabled operational capabilities.
Requirements
- Bachelor's or master's degree in computer science, machine learning, engineering, mathematics, physics, or a related technical field, or equivalent practical experience.
- At least 3 years of experience building AI, machine learning, or applied research systems.
- Strong Python engineering skills.
- Experience with PyTorch and modern LLM tooling such as Transformers, vLLM, and Hugging Face.
- Experience building or deploying agentic AI systems, tool-calling workflows, or multi-step reasoning pipelines.
- 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 research prototypes into production-quality implementations.
- Eligible to obtain a U.S. security clearance.
Benefits
- Health care plan with 100% premium coverage, including medical, dental, and vision.
- 401(k) with 5% matching.
- Paid time off including uncapped vacation, sick leave, and public holidays.
- Flexible hybrid or remote work arrangement.
- Relocation assistance for qualifying employees.
Categories
AI ResearchML Engineering
About Code Metal
Code Metal builds an AI-assisted code transpilation and verification platform that translates algorithms into optimized implementations for heterogeneous hardware (GPUs, FPGAs, ASICs, and edge SoCs). It serves defense, automotive, aerospace, and semiconductor teams deploying DSP, RF, communications, and embedded signal-processing workloads to constrained devices. Privately held and founded in 2023, the company is headquartered in Boston, MA.