Senior Machine Learning Research Scientist - Frontier Lab
Core
Senior individual contributor and technical leader shaping and executing applied research and prototype capability development for government and DoW missions, spanning the research-engineering spectrum.
Role type
Senior Machine Learning Research Scientist (Frontier Lab)
Builds
Prototypes, reference implementations, and evidence-backed insights for mission workflows, TEVV pipelines, and multimodal learning systems.
Domain
Government defense and intelligence (DoW), applied AI, agentic systems, and mission-critical ML.
Deliverable
production ML models | product features | research
Required skills
Agentic AI systems design, LLM reliability and evaluation, computer vision evaluation, robustness and assurance, TEVV pipelines, multimodal learning, edge ML inference, technical leadership, prototyping, evaluation strategy design, stakeholder communication, mentorship, research agenda shaping.
Preferred skills
Publications at top-tier venues (NeurIPS/ICLR/ICML), experience with secure/operational environments, technical roadmap design.
Technologies
Agentic frameworks, LLMs, sensor fusion tools, edge inference engines, evaluation pipelines, synthetic data generation tools.
Responsibilities
Execute mission-context execution by understanding operational constraints and user workflows; lead technical execution by defining tasking and sequencing work; design and run applied research studies and build convincing prototypes; establish credible evaluation strategies and test pipelines for robustness and trustworthiness; serve as primary technical interface to translate mission goals into measurable outcomes; mentor junior staff and raise research rigor; maintain awareness of frontier developments and shape research directions.
Seniority
Senior, hands-on IC with technical leadership
