Learning Engineer

1 week ago


San Francisco, United States Billables Incorporated Full time

Location: Hybrid (San Francisco) / Open to Remote

About 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
  • Learning Engineer

    1 week ago


    San Francisco, United States EvenUp Full time

    EvenUp is on a mission to support injury law firms across America in providing a consistent and high standard of representation, ensuring that every injury victim who seeks legal assistance can expect a fair resolution. We’ve helped thousands of victims get fair compensation by empowering their representation with best-in-class insights, automation, and...

  • Learning Engineer

    2 weeks ago


    San Francisco, United States EvenUp Full time

    EvenUp is on a mission to support injury law firms across America in providing a consistent and high standard of representation, ensuring that every injury victim who seeks legal assistance can expect a fair resolution. We’ve helped thousands of victims get fair compensation by empowering their representation with best-in-class insights, automation, and...

  • Learning Engineer

    7 days ago


    San Francisco, United States Aitopics Full time

    SupernormalSupernormal is your AI-powered meeting platform. Automate meeting notes, agendas, and insights, while Voice Agents help you scale tasks effortlessly—empowering teams to focus on what matters most: building genuine connections and driving.We’re on a mission to transform spoken communication for individuals, teams, and organizations. Meetings...

  • Learning Engineer

    3 days ago


    San Francisco, United States Aitopics Full time

    SupernormalSupernormal is your AI-powered meeting platform. Automate meeting notes, agendas, and insights, while Voice Agents help you scale tasks effortlessly—empowering teams to focus on what matters most: building genuine connections and driving.We’re on a mission to transform spoken communication for individuals, teams, and organizations. Meetings...

  • Learning Engineer

    7 days ago


    San Francisco, United States Supernormal Technologies, Inc. Full time

    About usWe’re on a mission to transform spoken communication for individuals, teams and organizations. Meetings are an information rich channel for productivity, but much is lost due to lack of structure and information flow. At Supernormal we’re solving this problem with focus, design, and craft.We’ve been working on this since 2019 and have customers...

  • Learning Engineer

    3 days ago


    San Francisco, United States Supernormal Technologies, Inc. Full time

    About usWe’re on a mission to transform spoken communication for individuals, teams and organizations. Meetings are an information rich channel for productivity, but much is lost due to lack of structure and information flow. At Supernormal we’re solving this problem with focus, design, and craft.We’ve been working on this since 2019 and have customers...


  • San Francisco, United States Acceler8 Talent Full time

    Machine Learning EngineerWe are seeking a Machine Learning Engineer to join a very well-funded (Series D) autonomous vehicle startup based in Mountain View, CA. Our mission is to reimagine the idea that people have of the autonomous vehicle industry today by creating a positive real-world impact.Within this role, you will be working alongside our highly...


  • san francisco, United States Consultant Specialists, Inc. (CSI) Full time

    Updated note from manager. The candidates need to have engineering experience in deploying, monitoring, and tracking models in a real-world production environment at scale, along with a strong understanding of AI/ML programming and algorithms.The position:Machine Learning Engineer, client Computational Sciences / Computational Catalysts / Scientific Insights...


  • San Francisco, United States Acceler8 Talent Full time

    Machine Learning EngineerAre you an experienced Machine Learning Engineer looking to develop models that predict job performance more effectively than traditional methods? This opportunity is ideal for engineers passionate about using machine learning to solve complex, real-world problems. You'll join a team trusted by a wide range of clients, from emerging...


  • San Francisco, California, United States Cadre Full time

    Job DescriptionWe are seeking a highly skilled Machine Learning Engineer to join our team at Cadre. As a key member of our data science and engineering team, you will play a critical role in developing and implementing advanced machine learning models and algorithms to drive business growth and improve user experiences.Key ResponsibilitiesCollaborate with...


  • San Francisco, United States Proprius Full time

    Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Become part of a collaborative team that tackles research problems through a process of prototyping,...


  • San Francisco, United States Tbwa ChiatDay Inc Full time

    Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for engineers to build recommendation systems for a more engaging, easier to use...


  • San Francisco, California, United States Primer Full time

    About Primer: Primer is a leading AI software company that empowers critical organizations with trusted decision-ready AI.The Role: As a Machine Learning Engineer at Primer, you will lead the development and improvement of our data-driven products, from research to production. You will leverage your expertise in data science, algorithms, and language models...


  • San Francisco, United States Acceler8 Talent Full time

    About the CompanyThis position offers an opportunity to work with an AI-driven talent platform that transforms recruitment by using advanced machine learning models to evaluate and rank candidates based on their capabilities. The company serves a diverse range of clients, from startups to large AI labs, ensuring precise candidate matches tailored to each...


  • San Francisco, United States Aitopics Full time

    SupernormalSupernormal is your AI-powered meeting platform. Automate meeting notes, agendas, and insights, while Voice Agents help you scale tasks effortlessly—empowering teams to focus on what matters most: building genuine connections and driving.We’re on a mission to transform spoken communication for individuals, teams, and organizations. Meetings...


  • San Francisco, United States Supernormal Full time

    About usWe’re on a mission to transform spoken communication for individuals, teams and organizations. Meetings are an information-rich channel for productivity, but much is lost due to lack of structure and information flow. At Supernormal, we’re solving this problem with focus, design, and craft.We’ve been working on this since 2019 and have...


  • San Francisco, United States Supernormal Technologies, Inc. Full time

    About usWe’re on a mission to transform spoken communication for individuals, teams and organizations. Meetings are an information rich channel for productivity, but much is lost due to lack of structure and information flow. At Supernormal we’re solving this problem with focus, design, and craft.We’ve been working on this since 2019 and have customers...


  • San Francisco, United States CHALK INC Full time

    About Chalk Instead of relying on dated technologies like Spark, we built Chalk from the ground up to provide a best-in-class experience for our users - the experience we've always dreamed of. Chalk makes it simple to integrate new features, backtest changes, and deliver real-time machine learning and generative AI. Chalk's infrastructure is not just about...


  • San Francisco, California, United States Hireio, Inc. Full time

    Job DescriptionHireio, Inc. is seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning and experience with large-scale model development.The successful candidate will be responsible for:Exploring and developing large-scale language models and optimizing enterprise...


  • San Francisco, United States Sapling Full time

    ML/NLP/deep learning expertise. Strong engineering background with end-to-end ownership of projects. You will: Have critical impact on Sapling growing its set of enterprise customers. Build components of the data, pre-processing, training, evaluation, and guardrail pipeline for Transformer models. Work closely with the founders. Have a flexible work...