Machine Learning Engineer

Location: Hybrid (San Francisco) / Open to RemoteAbout Us.Billables.ai is transforming professional service workflows with AI, building tools to reduce the time spent on mundane overhead tasks. Our flagship product is the first self-service, automated billable time report for lawyers, agencies, and consultants – freeing them to focus on the most creative and intellectual parts of their business. About the Role.As one of the first engineers at Billables.ai, you will have a pivotal role in shaping our core product and technical strategy. Your primary focus will be developing and optimizing our AI/ML capabilities, with opportunities to contribute across the stack as needed. If you are passionate about innovative SaaS solutions, directly impacting organizations’ revenue, and bringing new ideas to established industries, we’d love to hear from you! Apply LLMs and state-of-the-art machine learning approaches to solve user pain points around personalization and automation of complex tasks Lead the development of AI features and architecture, strategically applying both heuristic and advanced ML techniques to meet specific problem requirements Design and implement scalable APIs for customer applications and third-party integrations Steer technical projects from concept to completion, collaborating with our founding team to align solutions with customer needs and adapt quickly to evolving project scopes Engage across the stack as needed to ensure overall product success Contribute actively to our engineering culture and processes, advancing best practices for code quality and testing through all stages of product development What We’re Looking For. Experience applying machine learning models to real-world problems, utilizing approaches such as generative AI, clustering techniques, or natural language classification Professional software development experience with a strong track record of deploying and maintaining production-ready code Proficiency in Python and hands-on experience with ML frameworks such as or PyTorch or Tensorflow Experience running end-to-end experiments, including developing datasets and controls, conducting hypothesis tests, and rigorously evaluating outcomes Strong foundation in service-oriented architecture, API development and design patterns, and database design for large-scale applications Experience and desire to work in small, early-stage startups, building products from zero to one Collaborative mindset and commitment to a team-oriented culture, including active participation in code reviews, design sessions, and technical decision-making Desire to learn, take on new challenges, and stay informed on industry advancements through continuous research and application What We Offer. A key role shaping the direction of a promising startup already gaining significant traction with customers The opportunity to work within a deeply technical team to develop and learn leading-edge AI solutions Freedom and responsibility to own multiple areas and wear different hats Competitive salary and equity options, plus comprehensive benefits including flexible PTO, medical/vision/dental, and a 401(k) plan Flexible work hours and hybrid schedule including remote work plus time in our downtown San Francisco office.How to Apply.Ready to join our team at Billables.ai? Send your resume via the link below. We look forward to hearing from you!  #J-18808-Ljbffr

Created: 2025-09-17