Pulse · 5 months ago
Machine Learning Engineer Intern (Summer 2026)
Pulse is tackling persistent challenges in data infrastructure by extracting accurate, structured information from complex documents at scale. As a Machine Learning Engineer Intern, you will work with founding engineers on core ML challenges involving computer vision, NLP, and data infrastructure, gaining hands-on experience in production-scale AI systems.
Artificial Intelligence (AI)Data ManagementSoftware
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
Qualification
Required
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
Preferred
Experience with distributed training or model optimization (Triton, TensorRT, ONNX)
Open source contributions in ML/NLP/CV
Benefits
Daily meal stipend
Office perks
Close mentorship from the founding team
Company
Pulse
Production-Grade Unstructured Document Extraction
H1B Sponsorship
Pulse has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2022 (2)
Funding
Current Stage
Early StageTotal Funding
$4.4MKey Investors
Y Combinator
2025-02-19Seed· $3.9M
2024-09-25Pre Seed· $0.5M
Company data provided by crunchbase