or apply directly on BILL's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 51 days BILL's roles stay open a median of 83 days
- Reposted
- No
- Salary listed
- No 0% of BILL's roles list one
- Ghost-job risk at BILL
- high 55 stale, 10 reposted of 55 open
- Hiring momentum
- 80 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-25
Measured from postings appearing on and disappearing from BILL's own greenhouse board since 2026-08-03. Full hiring picture for BILL.
About this role
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
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of BILL as an employer.
What you need
- 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 you get
- 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
Worth weighing
- 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
Summarised from BILL's posting. Read the full original.
Listed by BILL on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.
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