Abridge

Machine Learning Scientist, NLP (All Levels)

San Francisco, California, United States

$200,000 – $300,000Compensation
Entry Level & New Grad, Junior (1 to 2 years), Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, HealthcareIndustries

Requirements

Candidates should possess a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience. A strong research background is essential, demonstrated through high-impact publications at peer-reviewed AI conferences such as CL, NeurIPS, ICML, and ICLR. Proven experience in crafting, prototyping, and delivering machine learning solutions into production is required, along with strong programming skills and familiarity with deep learning libraries like PyTorch, Jax, and TensorFlow.

Responsibilities

The Machine Learning Scientist will advance the state of the art in medical natural language processing, focusing on areas such as conversation summarization, evidence extraction, and outcome prediction. They will actively contribute to the research community by sharing and publishing original research, define important problems, identify appropriate baselines, and develop state-of-the-art methods for production. Additionally, they will engage with real-time feedback from clinicians to guide refinements and innovations while maintaining a results-oriented approach in the face of ambiguous problems.

Skills

PyTorch
Jax
TensorFlow
Deep Learning
NLP
Machine Learning
Statistical Analysis
Python
Research
Experimentation

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.

Key Metrics

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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