Senior Machine Learning Engineer (small Language Models)

League Inc.

Remote
Fully remote
Fine-tuning, distillation, and optimization of slms
Applied systems that connect models, data pipelines
Training data design and generation
League Inc. is seeking a Senior Machine Learning Engineer specializing in small language models to join their AI Models team. The role focuses on research and development, requiring expertise in model experimentation, integration, and evaluation within the healthcare sector

Job Summary

  • This role sits at the intersection of research and engineering, with a strong emphasis on experimentation, model development, and applied system design.
  • You will contribute to building League’s next generation of AI capabilities, while partnering with platform and product teams to bring high-impact innovations into production.
  • At League, we are an AI-native organization, and we expect all employees regardless of role or level to thoughtfully leverage AI to improve the quality, speed, and impact of their work.

Matching Summary

Match Score: 85

League Inc. is seeking a Senior Machine Learning Engineer specializing in small language models to join their AI Models team. The role focuses on research and development, requiring expertise in model experimentation, integration, and evaluation within the healthcare sector.

Skills & Requirements

Must-have

  • fine-tuning, distillation, and optimization of SLMs
  • applied systems that connect models, data pipelines
  • training data design and generation
  • model performance, efficiency, and reasoning quality
  • AI-native development practices

Nice-to-have

  • healthcare data privacy and safety requirements
  • AI-assisted workflows to accelerate iteration
  • thoughtfully leverage AI to improve work

Key Requirements

  • 5+ years of hands-on experience in applied ML/AI engineering
  • Proven track record shipping fine-tuned or distilled LLMs/SLMs
  • Deep expertise in PEFT techniques
  • Hands-on experience with RLHF/RLAIF
  • Strong background in data curation
  • Proficiency with model training frameworks
  • Experience with model serving stacks
  • Comfort operating on cloud infrastructure
  • Bachelor's or graduate degree in Computer Science, Machine Learning, or equivalent experience

Work Rights

Not specified

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