Senior Machine Learning Engineer

BILL•Draper, UT

17h

About The Position

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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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.

Requirements

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

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