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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Scientist - **Company:** Abridge Partners, LLC - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Programming, Experimental Data, Machine Learning, Natural Language Processing, Open Source Technology, Tensorflow, Pytorch, Deep Learning, Information Technology - **Published:** September 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-scientist-all-levels-san-francisco-ca--4aeedb7a-5bb3-4df1-9e0a-cd7fb8df63a8 ## About the Role * Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience. * High-impact publications at peer-reviewed AI conferences (e.g. ACL, COLM, EACL, NAACL, NeurIPS, ICML, ICLR, Interspeech, ICASSP, SLT, MLHC, ML4H). * Significant real-world impact, as demonstrated through open source contributions and deployed technology. * Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production. * Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you're interested in the role but aren't sure whether or not you're a good fit, we'd still like to hear from you. Must be willing to work from our SF office at least 3x per week This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco. Why Work at Abridge?, Artificial Intelligence (AI), Clinical Study Publications, Coaching, Computer Programming, Computer Science, Electrical Engineering, Establish Priorities, Financial Support, Fitness, Health Plan, Healthcare, Identify Issues, Industry Standards, Machine Learning, Mathematics, Natural Language Processing (NLP), Open Source, Prototyping, Psychiatry and Mental Health, Scientific Research, Startup ## Description From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to hire research scientists with experience in machine learning and natural language processing. The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors. What You'll Do * Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation. * Actively contribute to the wider research community by sharing and publishing original research * Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production. * Dial deeply into real-time feedback from clinicians to guide further refinements and innovations * Be results-oriented in the face of ambiguous problems and uncertain outcomes ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)