Machine Learning Engineer at Abridge

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

Strong understanding of fundamental machine learning algorithms and neural network techniques
Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI
At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment
Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy
Working knowledge of C++ and SQL
Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation
Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results

Responsibilities

Develop and optimize machine learning models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness, including models for understanding a self-driving vehicle’s surroundings or predicting the intentions of other road users
Curate and manage large-scale datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation
Enhance and maintain training pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring
Improve model deployment and efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms
Explore and apply cutting-edge ML techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance
Collaborate with cross-functional teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems

Skills

Deep Learning

CNNs

Transformers

MLLMs

Dataset Management

Data Preprocessing

Data Augmentation

Training Pipelines

Cloud Platforms

Orchestration Tools

Autonomous Systems

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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