Pulse Secure
Machine Learning Engineer
San Francisco
Sponsorship not specifiedDetected 357 days ago
AlgorithmsMachine LearningPyTorchNLPComputer VisionResearch
About the role
- 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:
Responsibilities
- Optimize inference, batching, and quantization on GPU
Requirements
- 3+ years in applied ML or research, or strong open source record
Nice to have
- Triton Inference Server, TensorRT, ONNX, distributed training
- Prior startup or founding experience is a plus
Compensation
- Compensation and benefits
Benefits
- Fine-tuned vision-language models for charts, tables, and figures
- Create the specialized vision and language models that power Pulse.
- 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.
- Train and fine tune OCR, layout, table, and vision-language models
- Build evaluation, data curation, and active learning pipelines
- PyTorch or JAX, and modern vision or multimodal architectures
- Compensation and benefits
Company info
- 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.
Visa & Work Authorization
- Sponsorship available.
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