Machine Learning Engineer - Llms & Generative Ai

Truveta

Seattle, WA, United States
Base: $155,000 to $175,000; bonus/equity: not spec...
On-site
Develop and train foundation models
Apply sft, rlhf, peft, rag techniques
Build scalable distributed training infrastructure
Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains

Job Summary

  • Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains.
  • Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration).
  • The base pay for this position is $155,000 to $175,000.

Matching Summary

Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains.

Salary

Base: $155,000 to $175,000; Bonus/Equity: Not specified; Benefits: Comprehensive benefits package including medical, dental, vision, 401K

Skills & Requirements

Must-have

  • Develop and train foundation models
  • Apply SFT, RLHF, PEFT, RAG techniques
  • Build scalable distributed training infrastructure
  • Design models for robustness and bias mitigation
  • Collaborate with clinicians and engineers

Nice-to-have

  • Contribute to research publications
  • Experience in biomedical informatics
  • Familiarity with multi-modal models
  • Experience with vector databases
  • Building trustworthy AI systems

Key Requirements

  • 6+ years software engineering/ML experience (3+ with PhD)
  • Experience designing and training LLMs
  • Deep expertise in NLP and transformer architectures
  • Proficient in Python and PyTorch/TensorFlow
  • Experience with RL-based fine-tuning
  • Bachelor's degree in Computer Science or related field

Work Rights

Not specified

Tailored Resume

Cover Letter