Machine Learning Engineer Intern (Summer 2026)
Pulse•San Francisco, CA
3d•$40 - $70
About The Position
As a Machine Learning Engineer Intern, you’ll work directly with our founding engineers on core ML challenges at the intersection of computer vision, NLP, and data infrastructure. This internship is designed for second- or third-year undergraduate students eager to gain hands-on experience in production-scale AI systems.
Requirements
- Currently an undergraduate student in Computer Science, Engineering, or a related field
- Strong experience with Python and PyTorch or JAX
- Familiarity with modern vision or multimodal architectures
- Solid programming skills and interest in production systems
Nice To Haves
- Experience with distributed training or model optimization (Triton, TensorRT, ONNX)
- Open source contributions in ML/NLP/CV
Responsibilities
- Train and fine-tune OCR, layout, table, and vision-language models
- Contribute to evaluation, data curation, and active learning pipelines
- Optimize inference, batching, and quantization on GPU
- Collaborate with engineers to productionize models with reliability in mind
- Document findings that inform the model roadmap
Benefits
- $40–$70 per hour (depending on experience)
- Daily meal stipend, office perks, and close mentorship from the founding team
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What This Job Offers
Career Level
Intern
