ML Science Manager at Abridge

San Francisco, California, United States

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$275,000 – $350,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

NLPMachine LearningLarge Language ModelsGenerative AIClinical DocumentationEMR Integration

Questions & Answers

Common questions about this position

What is the salary range for the ML Science Manager position?

The salary range is $275K - $350K.

Is this a remote, hybrid, or in-office role?

This is a hybrid position.

What skills and expertise are required for this ML Science Manager role?

The role requires expertise in leading NLP/ML researchers, with focus on clinical NLP, summarization, dialogue understanding, agentic capabilities, retrieval-augmented generation, reasoning, tool-use, multimodal and multilingual algorithms, reinforcement learning, preference optimization, reward modeling, robustness, and safety.

What is the company culture like at Abridge?

Abridge fosters a culture of technical rigor, creativity, and scientific excellence within a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers collaborating to advance AI in healthcare.

What makes a strong candidate for the ML Science Manager role?

Strong candidates will have experience leading and mentoring high-impact teams of NLP/ML researchers, shaping R&D strategy aligned with healthcare priorities, ensuring research translates to production, and advancing state-of-the-art NLP for medicine.

Abridge

AI platform for clinical documentation automation

About Abridge

Abridge provides a platform that changes how medical conversations are documented in healthcare settings. Its main product allows healthcare providers to record patient visits, which are then transformed into organized clinical documents. This helps doctors and other healthcare professionals save time on paperwork, allowing them to concentrate more on caring for their patients. Abridge stands out from its competitors by focusing specifically on the needs of healthcare providers, payers, and pharmaceutical companies, offering a solution that improves both documentation efficiency and patient outcomes. The goal of Abridge is to enhance the quality of patient care while making the documentation process easier for healthcare professionals.

Pittsburgh, PennsylvaniaHeadquarters

2018Year Founded

$201.8MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Medical insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Equity

Flexible Spending (FSA) & Health Savings (HSA) Accounts

Learning and Development budget

401k Plan

Paid Parental Leave

Flexible working hours

Home Office Budget

Sabbatical Leave

Risks

Rapid expansion may strain Abridge's resources and affect service quality.

Integration challenges with EHR systems could disrupt workflows and data consistency.

Data privacy concerns in AI applications may lead to regulatory scrutiny.

Differentiation

Abridge transforms medical conversations into actionable clinical documentation using AI.

The platform supports over 28 languages and 50+ medical specialties.

Abridge's integration with EMR systems enhances clinician efficiency and patient care.

Upsides

Abridge's partnership with Mayo Clinic expands its reach to over 1 million patients.

The $150 million Series C funding accelerates AI technology development and integration.

Abridge's multilingual capabilities improve communication in diverse patient populations.

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