Software Engineering Intern, AML Platform (Summer 2027)

What you'll do

• Profile, benchmark, and optimize model inference for resource-constrained devices.
• Build or extend orchestration frameworks and agent workflows, or adapt and evaluate models for specific use cases.
• Collaborate with engineering, design, and product teams and contribute to open-source projects or internal libraries.

What they ask for

• Currently pursuing a degree in Computer Science, Engineering, or a related field, or equivalent practical experience; some coursework or project experience in machine learning, systems engineering, or software development expected.
• Technical communication skills to explain project goals, outcomes, challenges, and decisions.
• Familiarity with at least one area such as model inference and optimization, orchestration frameworks, model fine-tuning, or similar systems-level AI work.
• Ability to collaborate, take ownership, debug issues, and evaluate technical tradeoffs.

Nice to have

• Open-source contributions to inference engines, model repositories, or orchestration libraries.
• Experience with Python and ML-adjacent libraries, on-device AI, or system-level profiling and performance optimization.

Pay

$40.00–$50.00 per hour (hourly pay)

Tools

LangGraph, LangChain, vLLM, Python, PyTorch, TensorFlow, HuggingFace, FastAPI

AI focus

Work on AI model inference optimization, orchestration and agent workflows, and model customization and fine-tuning for on-device agentic experiences.