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Staff Machine Learning Engineer

BILL
Location
United States
Posted
17 days ago
Department
Engineering
What they actually want (must-haves)
  • Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years of experience; or equivalent experience
  • 8+ years in software/ML engineering with a demonstrated track record at Staff level or equivalent scope
  • Direct experience fine-tuning LLMs, including supervised fine-tuning, LoRA/QLoRA, preference optimization (DPO/RLHF), and structured-output training
  • Production experience in at least one of: recommendation systems, personalization, or search/ranking
  • Strong data reasoning fundamentals: sampling and class imbalance, evaluation design and metric selection, confidence calibration, leakage detection, distribution shift
  • Research-oriented mindset with shipping discipline
Nice to have
  • Experience with document AI / intelligent document processing
  • Publications, patents, or open-source contributions in ML
  • Experience with privacy-constrained ML
  • Experience designing multi-model routing or cascade architectures
What the job really is

As a Staff Machine Learning Engineer at BILL, you will lead high-impact machine learning initiatives, overseeing everything from problem framing to production deployment. You will be hands-on in model training and mentoring engineers, while also setting the technical direction for the team. Your work will involve architecting next-generation ML systems and ensuring continuous improvement through data-driven strategies.

Benefits
  • 100% paid employee health, dental, and vision plans
  • HSA & FSA accounts
  • Life Insurance, Long & Short-term disability coverage
  • Employee Assistance Program (EAP)
  • 11+ Observed holidays and wellness days and flexible time off
  • Employee Stock Purchase Program with employee discounts
Things to weigh
  • No specific salary listed for the role, but ranges provided based on geographic zones
  • Fast-paced environment may require adaptability and resilience
  • Role involves significant hands-on work alongside leadership responsibilities
Job score3.6/5
Benefits4/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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