10 дней назад
Summer 2027 AI/ML Engineering Intern (AI/ML)
25$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Summer 2027 AI/ML Engineering Intern (AI/ML) (LLM/Agents): Building production AI and machine learning features for the Nuclear Operating System, including LLM-driven workflows, retrieval-augmented generation, agents, predictive models, and anomaly detection with an accent on reliable data and regulated industrial applications. Focus on developing tool-using agents, integrating Palantir Foundry and AWS GovCloud data, and creating evaluation, monitoring, and regression systems that keep AI features safe, reproducible, and audit-ready.
Location: Washington, DC; on-site five days a week for the full term. Full housing and relocation are provided for co-ops outside the DC metro area. U.S. Person status is required, and visa sponsorship is not provided.
Salary: $25.00 per hour, plus a $2,000 monthly housing stipend, less applicable withholdings and deductions.
Company
is an AI-focused nuclear and energy startup building software for fleet-scale deployment of safe, reliable, and affordable nuclear reactors.
What you will do
- Ship machine learning and AI features for site evaluation, red flag analysis, scheduling, lessons learned, and project stakeholder tools.
- Build AI agents and agent workflows that operate against Nuclear Operating System data and tools, including MCP interfaces and tool-use frameworks.
- Develop data pipelines and integrations across Palantir Foundry, AWS GovCloud, and other systems, while contributing to the data ontology.
- Build predictive and anomaly-detection models using operational and sensor time-series data from active projects.
- Define evaluation criteria, acceptance thresholds, and regression suites; monitor model quality, triage issues, and investigate root causes.
Requirements
- Currently enrolled in a BS program in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field, and returning to school afterward.
- Strong Python fundamentals and hands-on exposure to modern ML and LLM tools such as PyTorch or Hugging Face.
- Evidence of shipping working software or machine learning projects through coursework, personal projects, internships, or co-ops.
- U.S. Person status, defined as U.S. citizenship or lawful permanent residence, is required because of U.S. export controls.
- Ability to work on-site in Washington, DC, five days a week.
Nice to have
- Experience with LLMs, agents, prompting, fine-tuning, retrieval-augmented generation, evaluations, or MCP-style tool use.
- Experience with Palantir Foundry and AIP, AWS, or another major cloud platform.
- Experience with exploratory data analysis, large messy datasets, time-series or sensor data, MLOps, MLflow, SageMaker, Vertex AI, or model CI/CD.
- Interest in energy, national security, industrial software, or regulated industries; nuclear engineering familiarity is helpful but not required.
Culture & Benefits
- AI-first work environment using AI, technology, and the Nuclear Operating System to improve workflows and decision-making.
- Purpose-driven work connected to national security, energy independence, and climate goals.
- 401(k) with company match.
- Medical, dental, and vision plans.
- Generous vacation policy and holidays.
- Full housing and relocation support for co-ops outside the DC metro area.
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