Staff Machine Learning Engineer

BILL, United States

The role

Innovate with purpose

At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.

Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. We're remote-first, with office spaces in San Jose, CA and Draper, UT — and opportunities to connect in person when it counts. BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.

BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.

Posted pay

$177K–$250K

a year

Compared with similar jobs

This base pay is below the median for staff ML and AI engineering jobs in other US places.

Median: $249K a year
Other jobs in the group: 95

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location

United States

Work type

Not given

Level

Staff

Experience

8+ years

Posted

Sep 3, 2026

Last check

7 h ago

Job type

ML / AI engineering, Inference & ML systems

The role

Innovate with purpose

What you will do

Own technical direction for high-impact ML initiatives end to end, from problem framing and research exploration through production deployment and measurement, across document understanding, field extraction, and model-serving infrastructure
Stay hands-on: prototype, fine-tune, and ship models yourself; write production code alongside the engineers you mentor
Lead our LLM strategy, including fine-tuning open-weight foundation models, designing evaluation harnesses, and making principled build-vs-buy decisions between self-hosted and frontier API models across accuracy, cost, latency, and privacy constraints
Bring a research-oriented mindset to production problems: read and translate current literature into practice, design rigorous experiments and ablations, and know when a published technique will or won't transfer to our data distribution
Design the data flywheel, including labeling pipelines, human-in-the-loop feedback, and drift monitoring, so our models improve continuously from production signals
Set engineering standards for model evaluation, calibration, reproducibility, and responsible deployment; be the person others seek out for design reviews on anything ML-shaped
Mentor and multiply: grow senior and mid-level ML engineers through code review, pairing, and technical guidance; influence roadmaps in partnership with product and platform leadership

We’d love to chat if you have

Requires a 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, leading technically while remaining deeply hands-on with the modern ML/AI stack (PyTorch, distributed training, experiment tracking, feature and vector stores)
Direct experience fine-tuning LLMs, including supervised fine-tuning, LoRA/QLoRA, preference optimization (DPO/RLHF), and structured-output training, and taking fine-tuned models to production at scale
Production experience in at least one of: recommendation systems, personalization, or search/ranking; you have built systems that learn from user behavior at scale, handled feedback loops and position bias, and shipped models where offline metrics had to survive contact with online reality
Strong data reasoning fundamentals: sampling and class imbalance, evaluation design and metric selection, confidence calibration, leakage detection, distribution shift, and the statistical judgment to know when an A/B result or benchmark number is real versus noise
Research-oriented mindset with shipping discipline: you follow the literature, form hypotheses, and run disciplined experiments, but you measure success by what reaches production and moves business metrics

Nice to have

Experience with document AI / intelligent document processing (OCR pipelines, layout-aware models such as LayoutLM/Donut, vision-language models)
Publications, patents, or open-source contributions in ML
Experience with privacy-constrained ML (on-prem/VPC model hosting, PII handling, data governance in fintech or healthcare)
Experience designing multi-model routing or cascade architectures balancing cost, latency, and accuracy

Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed below. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. The estimated salary ranges noted below roles in the specific geographic zones

Zone 1: San Francisco Bay Area CA (includes HQ), New York City, Seattle, Los Angeles County

$208,500—$250,000 USD

Zone 2: CA (Non San Francisco Bay Area and Los Angeles County), Austin TX, Massachusetts

$187,700—$225,000 USD

Zone 3: Utah (includes Utah office), Dallas TX, Houston TX, Florida, North Carolina, Illinois, Colorado, Arizona, Georgia, Oregon, Pennsylvania

$177,200—$212,500 USD

What’s in it for you?

Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.

Here is a preview of some of the amazing benefits here at BILL

BILL covers the majority of your medical, dental, and vision premiums, and that includes your dependents.
HSA & FSA accounts
Life Insurnace, Long & Short-term disability coverage
Mental Wellbeing & Employee Assistance Program (EAP)
10 company holidays, 2 floating holidays and flexible time off
Employee Stock Purchase Program with employee discounts
Employee recognition and referral programs
and much more

Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.

We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.

Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.

Staff Machine Learning Engineer

The role

Staff Machine Learning Engineer

The role

What you will do

We’d love to chat if you have

Nice to have

Here is a preview of some of the amazing benefits here at BILL

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