Learning Engineer

1 week ago

San Francisco, United States Aitopics Full time
Supernormal

Supernormal 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 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.

Supernormal is a remote-first company and does not require co-location. We have annual team retreats and gatherings several times a quarter.

About the role

Machine learning engineers at Supernormal build the AI that superpowers the core product experience for people’s meetings including transcription, note generation, and task automation. The AI team builds reliable and secure services that use the most advanced AI models in the market to generate millions of high-quality meeting notes to a rapidly growing customer base. Our work revolves heavily around software engineering, too – we are looking for people with a drive to roll up their sleeves and get new models and features out to users as quickly as possible.

What you’ll work on

As an ML Engineer on Supernormal‘s AI team, you’ll lead the full development cycle of AI solutions for meeting notes, question answering, agent conversations, and task completion. Your responsibilities will include:

  • Prompt engineering using state-of-the-art techniques to improve the core meeting assistant scenarios.
  • Building and shipping machine learning models to improve transcript quality, reduce API token usage, eliminate LLM output defects, and extract semi-structured data.
  • Training and deploying custom language models (LoRA, RLHF, instruction-tuning, etc.), fine-tuning models for diverse business needs.
  • Creating new NLP & LLM-driven product experiences that improve with user feedback, collaborating with product and design teams.
  • Improving our LLM-powered search and question answering using retrieval augmented generation (RAG), everything from defining and improving quality metrics to optimizing our infrastructure.
  • Advocating for, and building, new and better ways of doing things.
RequirementsWhat you will bring
  • Production-level AI/ML Experience: Demonstrated proficiency in AI/ML with a track record of at least 3-5 years experience building machine learning systems.
  • Experience delivering products and services using GenAI: 1+ year experience building NLP systems using LLMs.
  • Software Engineering Competency: A solid engineering background with a robust foundation in software engineering principles.
  • A Solid Educational Foundation in AI/ML: Bachelor’s degree in Computer Science, Engineering, AI, Mathematics, or related field.
  • Proficient in Python: our AI stack uses Python and interfaces with Ruby on Rails and Typescript.
What we’ll expect of you
  • A collaborative mindset, focused on lifting others and improving daily.
  • A drive to tackle tough problems and do hard things.
  • High agency and initiative in bringing and building ideas.
  • Willingness to learn and improve existing approaches.
  • Emphasis on shared ideas and collective responsibility.
  • A growth mindset when facing challenges, aiming for team improvement.
What you can expect from us
  • We’re a fully distributed team spread between Pacific Time (California) and Central European Time (Stockholm).
  • We’re a friendly bunch and are happy to pair, talk through, or otherwise assist any time.
  • Honest and timely feedback.
  • A willingness to listen to your ideas.
  • A respect for your time outside of work.

Full healthcare coverage (Medical, Dental, and Vision)

Totally remote. Not hybrid. Remote. No return-to-office here.

WFH budget to make sure you have everything you need to do your best work.

Education credit (up to $500 per year).

#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

    1 week 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

    4 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...

  • Machine Learning Engineer

    2 weeks ago

    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...

  • Machine Learning Engineer

    1 month ago

    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...

  • Machine Learning Engineer

    2 weeks ago

    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...

  • Machine Learning Engineer

    2 weeks ago

    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...

  • Machine Learning Engineer

    3 weeks ago

    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,...

  • Learning Engineer

    1 week ago

    San Francisco, United States Billables Incorporated Full time

    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...

  • Learning Engineer

    2 weeks ago

    San Francisco, United States Billables Incorporated Full time

    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...

  • Machine Learning Engineer

    4 days ago

    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...

  • Machine Learning Engineer

    2 weeks ago

    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...

  • Machine Learning Engineer

    2 weeks ago

    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...

  • Machine Learning Engineer

    3 weeks 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...

  • Machine Learning Engineer

    3 weeks ago

    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...

  • Machine Learning Engineer

    3 weeks 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...

  • Machine Learning Engineer

    4 weeks ago

    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...

  • Machine Learning Engineer

    4 weeks ago

    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...

  • Machine Learning Engineer

    4 weeks ago

    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...