SEI AI Division
AI
SeniorMachineLearningResearchScientistFrontierLab
“Senior Machine Learning Research Scientist - Frontier Lab at SEI AI Division. Skills: Applied research, Prototyping, Evaluation, Machine Learning. Execute work within operational context. Lead technical execution”
What You'll Achieve.
Transition frontier AI capabilities to government stakeholders; Produce evidence-backed insights; Improve confidence in performance, robustness, uncertainty, and trustworthiness of ML-enabled systems; Improve accuracy and reliability of mission-tailored language models; Enable capability under constrained compute/connectivity
Industry & Context.
Flexible to travel (~10%), Work onsite 5 days per week, Subject to background investigation, Eligible to obtain and maintain security clearance
What They're Looking For.
Must Have
BS in Computer Science, Electrical Engineering, Statistics, or related field with 10 years of relevant OR MS with 8 years of relevant OR PhD with 5 years of relevant experience, Deep expertise in one or more Frontier Lab-aligned areas (agentic systems, LLM reliability/evaluation, CV evaluation, robustness/assurance, TEVV pipelines, multimodal learning, edge ML), engineering capability – can build and maintain high-quality prototypes, evaluation infrastructure, and repeatable experimentation workflows, written and verbal communication able to represent technical work credibly to senior stakeholders, Demonstrated ability to lead technical workstreams and coordinate multi-person execution
Nice to Have
Leading applied research projects resulting in effective prototypes, mission-relevant evaluation outcomes, or transitioned methods, Publications at venues (e. g. , NeurIPS / ICLR / ICML, relevant workshops, MLCON), and/or demonstrable impact through applied research artifacts (benchmarks, evaluation suites, open-source, technical reports), Designing and operating TEVV efforts including evaluation pipelines, robustness analysis, calibration/uncertainty work, regression suites, and scenario-based evaluation protocols, Building agentic capabilities integrated with tools, data systems, and human workflows (decision support, planning, analytic contexts), Experience with secure or operational environments and delivery constraints typical of government settings, Experience shaping a technical roadmap or research portfolio aligned to sponsor priorities and lab strategy
What You'll Do.
Execute work within operational context
Lead technical execution
Design and run studies
Establish evaluation strategies
Serve as technical interface
Maintain awareness of frontier developments
Manage multiple priorities
Build research culture
How You'll Work.
Team & Collaboration
Collaborate effectively across research and engineering; Represent technical work with customers and stakeholders; Delegate appropriately across the team; Share insights with the lab; Engage with external AI/ML communities
Communication Scope
Written communication; Verbal communication; Communicate progress, decisions, and risks clearly
Process & Methodology
Define technical tasking, Sequence work into milestones, Maintain delivery quality, Plan work effectively
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