Jobs · Engineering · Michigan

AI Engineer

Max AI · Ann Arbor, MI · 1 wk ago
On-siteEngineering$150k–$250k/yrFull-time

Ai Engineer

  • Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle management
  • Contribute to the building of internal AI frameworks to enable the building of our AI agents and ML models
  • Collaborate closely with a small, high-impact team and engage directly with our Operations team and our customers to drive meaningful improvements

Work Approach

  • Complete product ownership: tackle challenges across the board rather than working in silos
  • An agile, iterative process with clear accountability
  • Regular interactions with customers to ensure our product continuously evolves to meet their needs

Core Values

  • A proactive mindset: Spot and resolve issues, continuously driving improvements
  • Commitment to lifelong learning and personal growth
  • Positivity, collaboration, and a team-first attitude
  • Clear communication skills

Requirements

  • 6+ years of ML/AI/data science in a production setting
  • Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models)
  • Expertise in AI/ML and specifically in NLP (pre-processing, embeddings, transformer-based models, etc)
  • Experience with LLM, including supervised fine-tuning, usage of AI frameworks, evaluations of LLMs

Nice to Have

  • Experience working at high-growth startups
  • Exposure in highly regulated industries and/or healthcare
  • Experience with AWS

Benefits

  • Compensation: $150k - $250k USD
  • Premium Healthcare Medical (Platinum PPO): Company covers 100% for employee, 80% for dependents
  • Dental (Platinum PPO): Company covers 90% for employee, 75% for dependents
  • Vision (Platinum PPO): Company covers 90% for employee, 75% for dependents

Perks

  • $250 per month (gym membership, classes, etc)
  • $2,000 annually (courses, mentorship, etc)

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