Top Tech Jobs & Startup Jobs

Six-month, on-site AI/ML co-op to develop, deploy, and monitor production ML and time-series forecasting models. Responsibilities include data sourcing/cleaning, building ML pipelines, model evaluation and validation, drift detection, retraining triggers, and maintaining audit-ready production models using ML tooling.

12-week, on-site summer fellowship for MS/PhD students to formulate problems, build simulations, and develop RL/optimization/forecasting models for construction scheduling, capital allocation, and security operations. Conduct rigorous experiments, maintain reproducible code, and collaborate on production paths. U.S. Persons only; no visa sponsorship. Housing and relocation provided for non-local fellows.

Conduct applied research in reinforcement learning and decision systems for fleet-scale nuclear infrastructure. Build simulations, formulate MDPs, develop and evaluate RL and optimization models, and collaborate with engineers to deploy, monitor, and communicate results to stakeholders across construction, capital planning, and security operations.

Lead procurement and supply chain for large-scale nuclear infrastructure projects. Develop strategic sourcing, manage suppliers and long-lead items, mitigate supply risks, ensure quality and regulatory compliance, implement digital tools and processes, and build a high-performing team to drive cost reduction and operational excellence.

Six-month on-site data science co-op working on NOS to turn data into decisions: frame questions, wrangle data, build and validate forecasting/classification/anomaly models for megaproject cost, schedule, and risk; extend the NOS ontology and data model; build data pipelines (Palantir Foundry, AWS GovCloud); and design dashboards and analyses for operators and executives.

Six-month on-site co-op building LLM-driven features and agents inside the Nuclear Operating System. Ship ML models and agent workflows, develop data pipelines (Foundry/AWS GovCloud), build predictive and anomaly-detection models on time-series sensor data, and own model quality, evals, and monitoring for production readiness.

Six-month on-site software engineering co-op building production features for the Nuclear Operating System (NOS). Work spans product, platform, and data squads, including AI-powered features (LLMs, RAG, agents), data integrations (Palantir Foundry, AWS GovCloud), automated testing, and field deployment tooling. Ship production code alongside engineers and nuclear experts.

Work as a data science intern on NOS to frame questions, wrangle data, build and validate forecasting/classification/anomaly-detection models, extend the data ontology, build pipelines (Foundry, AWS GovCloud), and deliver dashboards and analyses that inform engineering and executive decisions.

12-week Summer 2027 software engineering internship building production features in the Nuclear Operating System (NOS). Work includes AI-powered features (LLM/agent-backed), retrieval and tool-calling, data integrations with Palantir Foundry and AWS GovCloud, converting prototypes to production, field deployment tooling, and automated testing/compliance to keep NOS audit-ready. On-site in Washington, DC; interns ship real features alongside full-time engineers and nuclear experts.

Build and ship ML and LLM-driven features and agents inside the Nuclear Operating System (NOS). Develop data pipelines and integrations (e.g., Foundry, AWS GovCloud), create predictive and anomaly-detection models, and own model quality with evals, regression suites, and monitoring. Work on production systems alongside engineers and domain experts during a summer on-site internship.