Machine Learning Engineer Intern (Summer 2026)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$40-$70/hr From the posting source checked Jun 20, 2026

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

About in line with the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Machine Learning Engineer Intern (Summer 2026) San Francisco | OnSite OVERVIEW Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. Our breakthrough architecture combines schema mapping with fine-tuned extraction models where legacy OCR and parsing consistently fail. We're a small, fast-growing team in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We're backed by tier-1 investors and scaling quickly. ABOUT THE INTERNSHIP 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. 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 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 Have - Experience with distributed training or model optimization (Triton, TensorRT, ONNX) - Open source contributions in ML/NLP/CV COMPENSATION - $40-$70 per hour (depending on experience) - Daily meal stipend, office perks, and close

Read the full description at jobs.ashbyhq.com. FewerJobs shows a preview and links to the original posting.