Ml Features Solutions Engineer

Sambanovasystems

Austin, Texas, United States
Base: competitive; equity: included; benefits: 95%...
On-site
Master's degree in computer science or related field
5+ years industry experience in ml engineering
3+ years hands-on experience with llms and transformers
This role drives the development and optimization of core ML features for enterprise deployment on the SambaNova Suite platform

Job Summary

  • This role drives the development and optimization of core ML features for enterprise deployment on the SambaNova Suite platform.
  • The engineer will translate cutting-edge ML research into practical, deployable product features that accelerate customer adoption.
  • Candidates will benefit from working on the fastest AI inference platform with direct impact on global enterprise customers.

Matching Summary

This role drives the development and optimization of core ML features for enterprise deployment on the SambaNova Suite platform.

Salary

Base: Competitive; Equity: Included; Benefits: 95% medical premium coverage, HSA contribution, dental, vision, disability, life insurance, Headspace, Gympass+, One Medical

Skills & Requirements

Must-have

  • Master's degree in Computer Science or related field
  • 5+ years industry experience in ML engineering
  • 3+ years hands-on experience with LLMs and transformers
  • Expert proficiency in Python and PyTorch
  • Experience with model optimization techniques like quantization

Nice-to-have

  • PhD in Machine Learning or NLP
  • Experience with custom hardware acceleration
  • Hands-on experience with vLLM or TensorRT-LLM
  • Contributions to open-source ML projects
  • Knowledge of structured generation and constrained decoding

Key Requirements

  • Master's degree or higher required
  • 5+ years of ML engineering experience
  • 3+ years with large language models
  • Production deployment experience at scale
  • Strong understanding of LLM inference optimization

Work Rights

Not specified

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