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ML Tech Lead Manager

Abridge

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Location:
United States , San Francisco

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Contract Type:
Not provided

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Salary:

246500.00 - 290000.00 USD / Year

Job Description:

Abridge is building an AI platform for clinical conversations to solve the administrative burdens of medicine, freeing clinicians to focus on patient care. Our technology is rapidly expanding to support clinicians through a richer suite of interactions—helping them to make better informed decisions and to navigate medicine’s financial processes. Abridge improves patient outcomes and access to care, enables clinicians to focus on what matters most, and lowers costs for health systems. We are seeking a ML Tech Lead Manager to drive the next generation of our AI platform—scientifically rigorous, reliable in production, and optimized for the real-world complexity of healthcare. In this role, you will lead a team of ML Scientists who leverage natural language processing techniques and large language models to build compelling products and conduct scientific research. You and your team will be working closely with engineering, product, and clinicians. You will shape research strategy, ensure translation of research into production systems, and set the scientific standard for how Abridge advances state-of-the-art NLP for medicine.

Job Responsibility:

  • Lead, mentor, and scale a high-impact team of NLP/ML researchers, fostering a culture of technical rigor, creativity, and scientific excellence
  • Set R&D strategy that aligns with company priorities
  • Grow talent pipelines by recruiting world-class researchers and nurturing career development through coaching and mentorship
  • Balance long-term vision with near-term impact, ensuring research not only advances the field but also translates into product-grade systems
  • Partner with engineering teams and clinicians to operationalize novel algorithms into clinician-facing workflows, optimizing both quality and efficiency
  • Ensure safety and robustness in deployment, shaping the standards for evaluation in clinical AI
  • Represent Abridge in the global ML/NLP research community through publications, conference presentations, and industry/academic partnerships

Requirements:

  • 7+ years of experience in machine learning/NLP, with a strong track record of impactful publications and deployed systems
  • 3+ years of experience as technical lead for a project of 4 or more individuals
  • 2+ years of direct management experience, managing Researchers and Applied Scientists
  • Deeply technical, with expertise across NLP and LLMs—e.g., pre-training/post-training/SFT/RL, retrieval augmented generation (RAG), reasoning capabilities, multilinguality, multimodality, synthetic data generation, noise robustness, judges, and evaluation
  • Comfortable bridging research, product, and engineering, translating novel ideas into robust, scalable systems that deliver real-world impact
  • Have fluency with libraries for scientific computing (e.g. SciPy, Numpy) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas)
  • A thoughtful leader: you foster a feedback-rich culture, set a high bar for scientific rigor, and empower your team through mentorship, clear vision, and mutual trust
  • Up-to-date on the latest in NLP and ML research, with excitement for continuous learning
  • Motivated to work in a fast-paced, collaborative environment where your team’s science has direct clinical impact
  • Must be willing to work from our SF office at least 3x per week
What we offer:
  • Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
  • Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
  • Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA
  • Paid Parental Leave: Generous paid parental leave for all full-time employees
  • Family Forming Benefits: Resources and financial support to help you build your family
  • 401(k) Matching: Contribution matching to help invest in your future
  • Personal Device Allowance: Tax free funds for personal device usage
  • Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
  • Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
  • Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals
  • Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment
  • Compensation and Equity: Competitive compensation and equity grants for full time employees

Additional Information:

Job Posted:
January 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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