Techno-Functional Manager – OneStream Planning
KLA
.NETOraclePythonSQL
ML Science Manager
Abridge
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $275,000 - $350,000 per year
Job Level
SeniorLead
Tech Stack
NumpyPandasPyTorchScikit-LearnTensorflow
About the role
- 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 in areas like:
- - Clinical NLP, summarization, and dialogue understanding.
- - Agentic capabilities, retrieval-augmented generation, reasoning, and tool-use.
- - Multimodal and multilingual algorithms.
- - Reinforcement learning, preference optimization, and reward modeling.
- - Robustness, safety, and evaluation of LLM-powered systems.
- 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
- A strong researcher and technologist with 7+ years of experience in machine learning/NLP, with a strong track record of impactful publications and deployed systems.
- 4+ 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. You think about how research translates into user impact, and have experience aligning scientific direction with business and product goals. You have shipped models, designed benchmarks, and debugged real-world failures (from data drift to brittle eval pipelines).
- 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.
Benefits
- Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.
- Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA.
- Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.
- 401k and Matching: Contribution matching to help invest in your future.
- Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
- Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.
- Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.
- Compensation and Equity: Competitive compensation and equity grants for full time employees.
- ... and much more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningnatural language processingreinforcement learningmultimodal algorithmsmultilingual algorithmsretrieval-augmented generationpre-trainingpost-trainingsynthetic data generationnoise robustness
Soft skills
leadershipmentorshipcollaborationcommunicationstrategic thinkingcoachingfeedback culturescientific rigorteam empowermentadaptability
