Machine Learning Engineer

Trypulse; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Performance-based bonus

Relocation assistance

Daily meal stipend

Medical, vision, and dental coverage

Medical coverage

Vision coverage

Dental coverage

Job summary

A fast-growing tech startup in San Francisco seeks an experienced Machine Learning Engineer to create innovative vision and language models. Candidates should have 3+ years in applied ML or a strong open-source record. Responsibilities include training models and optimizing performance. Competitive salary, equity, and benefits offered.

Qualifications

• 3+ years in applied ML or strong open-source record.
• Experience with PyTorch or JAX.
• Solid engineering discipline and metrics focus.

Responsibilities

• Train and fine-tune OCR and vision-language models.
• Build evaluation and data curation pipelines.
• Optimize inference and quantization on GPU.
• Productionize models with clear SLAs and rollback plans.
• Write internal notes informing model and product roadmaps.

Skills

Applied ML or research

PyTorch or JAX

Engineering discipline

Engineering discipline

Tools

Triton Inference Server

TensorRT

ONNX

Distributed Training

Job description

Overview

Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.

We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.

What makes our tech special is our multi-stage architecture:

• Layout understanding with specialized component detection models

• Low-latency OCR models for targeted extraction

• Advanced reading-order algorithms for complex structures

• Proprietary table structure recognition and parsing

• Fine-tuned vision-language models for charts, tables, and figures

If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.

What we are looking for

• 5 days in-office at our San Francisco office

• Eager to learn and adapt quickly

• Prior startup or founding experience is a plus
  

About the Role
Create the specialized vision and language models that power Pulse. You will have autonomy to train and fine-tune models and to ship improvements to production.

Responsibilities

• Train and fine tune OCR, layout, table, and vision-language models

• Build evaluation, data curation, and active learning pipelines

• Optimize inference, batching, and quantization on GPU

• Productionize models with clear SLAs and rollback plans

• Write internal notes that inform model and product roadmaps
  

Requirements

• 3+ years in applied ML or research, or strong open source record

• PyTorch or JAX, and modern vision or multimodal architectures

• Solid engineering discipline and metrics focus
  

Nice to have

• Triton Inference Server, TensorRT, ONNX, distributed training
  

Sponsorship
Sponsorship available.

Compensation and benefits
Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.