Senior Machine Learning Engineer

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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, 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. ✨ Let’s give businesses more time for what matters. Make your impact within a rapidly growing Fintech Company Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users. Responsibilities: Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility Mentor junior team members and share technical expertise to elevate team capabilities We’d love to chat if you have: Proven experience building and deploying machine learning models in production environments Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow , PyTorch , or scikit-learn Previous experience with OCR extraction and NLP methodologies Knowledge of AI agents and strong experience with LLMs Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams A problem-solving mindset and a passion for continuous learning and innovation Visa Sponsorship: Please note that this position is eligible for visa sponsorship. #LI The estimated salary  range for this role is noted below for our San Jose based role.  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 above. 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. San Jose pay range $161,900 — $194,200 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: 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP) 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 Wellness & Fitness initiatives 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. BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture. 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.