The Nuclear Company
AI/ML Engineer
Washington, DC
Sponsorship not specified$121k-$165kDetected 22 days ago
PythonAWSCI/CDMachine LearningPyTorchData AnalysisData EngineeringLLMsRAGAgentic AIMLOpsStatistics
About the role
- The Nuclear Company is hiring an AI Engineer to ship the machine learning and agent capabilities inside NOS, the software platform behind one of the largest nuclear buildouts in the United States.
- You'll work in the Platform Integration & AI/Data squad and report to the Director of Platform Integrations.
- You'll work close to the metal: training and fine-tuning models, designing agent workflows against NOS data and tools, wiring up MCP interfaces, and standing up the evals and monitoring that keep AI features safe in production.
Responsibilities
- Build AI agents and agent workflows. Design agents that operate against NOS data and tools, including the MCP interfaces and tool-use frameworks they depend on.
- Own model quality end-to-end. Define eval criteria, acceptance thresholds, and regression suites for AI features. Keep results reproducible and the bar high.
- Partner across the squad. Work directly with platform engineers and product engineers so models reach production instead of staying in notebooks.
- Build predictive and anomaly-detection models that support operations and engineering decisions, including time-series analysis of sensor and operational data from active projects.
- Solid data engineering fundamentals, comfortable building data pipelines and working with large, messy datasets.
Requirements
- 5+ years of professional experience shipping ML or AI features into production.
- Strong Python and hands-on experience with modern ML and LLM tooling (PyTorch, Hugging Face, or similar).
- Production experience with LLMs and agents: prompting, fine-tuning, RAG, evals, tool use.
- Required Experience
Nice to have
- Experience with at least one major cloud, AWS preferred.
- Strong written and verbal communication.
- You can explain models, tradeoffs, and failure modes to non-specialists.
- Experience with Palantir Foundry and AIP.
- Given the central role Foundry plays in our platform, this is heavily weighted.
- MLOps experience (MLflow, SageMaker, Vertex AI) and CI/CD for models.
- Preferred Experience
Skills
- site evaluation, red flag analysis, scheduling, lessons learned, and the stakeholder and project tools that run across active TNC projects.
Compensation
- Estimated Starting Salary Range
- The estimated starting salary range for this role is $121,000 - $165,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis.
Benefits
- Medical, dental, vision plans
- Generous vacation policy, plus holidays
- Bachelor's or Master's in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent production experience.
Equal opportunity
- equal opportunity employer committed to fostering an environment of inclusion in the workplace.
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