Staff Machine Learning Engineer
Role details
Job location
Tech stack
Job description
- 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 Bill's AI capabilities, turning both successful innovations and "failed" experiments into institutional knowledge.
- Scale the "Data Backbone": Oversee the evolution of Bill's 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 organization's 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.
Requirements
- 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.
Benefits & conditions
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
$216,000-$269,900 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.