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AI Engineer - Intern

You will turn mathematical complex equations into production models, build agentic flows, and ship features across healthcare, finance, and engineering. If you want breadth across multiple industries instead of a single product, this role gives you that scope.

Engineering

AI Engineer - Intern

InternshipHybridSan Diego, CA

What You'll Do

  • Translate mathematical frameworks into trainable modules in PyTorch or JAX
  • Design and compose multi-model systems
  • Build and evaluate agentic workflows with tools, memory, and routing
  • Implement inference services behind clean APIs. Add metrics and logging for experiments
  • Own data work from day one

Data Work

  • Extract data from external sources and build simple ETL jobs
  • Clean and validate datasets with automated checks for schema drift, null spikes, range anomalies, and duplicates
  • Handle sparse and missing data with imputation. Add missingness indicators and document tradeoffs
  • Keep lightweight data docs and reproducible samples for debugging

How You Work

  • This role requires independence. You identify problems, research options, make technical decisions, and execute without constant direction
  • We give context and feedback. You drive the work forward

What We're Looking For

  • Strong math: linear algebra, probability, optimization, statistics and Bayesian methods
  • You have deployed at least one AI model or feature and understand the gap between a notebook and production
  • Proficient with AI code assistants like Cursor, GitHub Copilot, Gemini, or Claude Code. You iterate quickly when building features or debugging
  • Experience with agentic flows
  • Data skills: ETL basics, cleaning, and sparse data handling
  • Basic MLOps: containers, cloud, and experiment tracking

Nice to Have

  • RAG systems and vector databases
  • Fine-tuning or preference tuning
  • ONNX or TensorRT for faster inference
  • Experience with Model Context Protocol (MCP) for building tool integrations and context sharing between AI systems
  • Industry context: MIMIC or HIPAA in healthcare, SOC 2 in finance
  • Open source contributions or a portfolio that shows depth

Critical Traits

  • Self-motivation and time management
  • You try multiple approaches before asking for help
  • You can work independently for long stretches and still communicate clearly

What You'll Get

  • Real ownership across multiple domains
  • Autonomy to make technical decisions and shape solutions
  • Experience that transfers across industries

Location and Details

  • Location: San Diego / hybrid
  • Hours: 15 to 25 per week during term, 40 in summer
  • You must be legally authorized to work in the United States
Production modelsAgentic flowsML modelsHealthcare AIApplied systems

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