Abridge

Machine Learning Scientist, ASR (All Levels)

San Francisco, California, United States

$200,000 – $300,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, HealthcareIndustries

Requirements

Candidates should have at least 2 years of experience in building speech recognition systems. A strong research background is essential, demonstrated through published papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics. Fluency with foundation models and a genuine interest in the medical domain are also required, along with strong critical thinking skills.

Responsibilities

The Machine Learning Scientist will advance the state of the art in medical ASR by improving transcription accuracy for clinical conversations, supporting various languages and dialects, and enhancing speaker diarization. They will contribute to the research community by publishing original research, implement algorithms for real-time speech recognition, perform data preprocessing, and define performance measures. Additionally, they will measure and optimize algorithm quality, identify important problems, and incorporate real-time clinician feedback to guide further innovations.

Skills

Speech Recognition
Foundation Models
Speech Recognition Algorithms
Data Preprocessing
Evaluation Techniques
Experimentation
Long-form Speech Recognition
Real-time Speech Recognition
Speaker Diarization
Language Modeling
Critical Thinking

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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