Senior Staff Machine Learning Engineer

San Jose, CA - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

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 By replacing outdated financial processes with innovative tools we help businessesfrom startups to established brandsmake smarter decisions and gain control of their operations. And we dont stop there: were 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 thats ready to tackle challenges and build cutting-edge solutions. We value purpose drive and curiosityand 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. Were committed to building a workplace that fosters inclusion and diverse perspectives valuing each persons unique skills and experiences. Wed love to hear from youyou might be just what were looking for whether in this role or another.

Lets give businesses more time for what matters.

Come join BILLs AI Product and Platform team the group building the intelligence backbone that powers every AI and agent-driven experience across our products. Youll architect large-scale LLM infrastructure evaluation and data systems that hundreds of thousands of customers and every internal developers rely on every day. Youll partner closely with product and engineer teams to launch new agents drive down latency and cost and set the technical standards that raise the bar for AI across the company.

Make your impact within a rapidly growing Fintech Company

Architect & Oversee: Lead the architectural strategy and design for end-to-end ML systems. You will own the operational roadmap for production-level inference fine-tuning and LLM orchestration at a large scale.
Build Reusable Frameworks: Develop and standardize reusable ML modeling frameworks high-performance data pipelines and internal libraries that set the bar for performance accuracy and explainability across all engineering teams.
Drive Innovation & Research: Lead applied research initiatives. You will design experiments that push the boundaries of Bills AI capabilities turning both successful innovations and failed experiments into institutional knowledge.
Scale the Data Backbone: Oversee the evolution of Bills data infrastructure ensuring that ETL processes and structured datasets are built for maximum scalability and long-term maintainability.
Shape Strategy & Goals: Identify emerging AI opportunities and transform them into core business goals. You will influence the broader engineering organizations AI roadmap and manage technical risks across multiple projects.
Raise the Bar: Define and enforce best practices for ML engineering. You will partner with leadership to mentor junior engineers and ensure the team is operating at peak technical excellence.

Wed love to chat if you have:

Proven Leadership: A track record of leading complex high-impact AI projects from ideation to production with a focus on large-scale distributed systems cloud infrastructure and operational excellence.
Architectural Mastery: Deep expertise in building backend systems that support AI-driven products specifically focusing on the scalability and maintainability of LLM-based architectures.
Strategic Data Engineering: Expert-level experience in building complex data pipelines (ETL cleaning structuring) that serve as the foundation for high-performing mission-critical AI systems.
Applied Research Mindset: Ability to bridge the gap between theoretical ML research and production engineering with a focus on measurable data-driven outcomes.
Influence & Mentorship: Strong communication skills with a history of shaping team goals defining engineering standards and raising the technical profile of the teams you work with.
Advanced Problem Solving: Experience managing the risks and trade-offs of complex AI deployments including performance optimization and cost-effective scaling.

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

$216000$269900 USD

Whats 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 isnt 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

Dont 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 . 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.

Required Experience:

Staff IC

Innovate with purposeAt BILL we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools we help businessesfrom startups to established brandsmake smarter decisions and gain control of their operations. And we dont stop there: were ...