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

Key technologies and capabilities for this role

Deep LearningCNNsTransformersMLLMsDataset ManagementData PreprocessingData AugmentationTraining PipelinesCloud PlatformsOrchestration ToolsAutonomous Systems

Questions & Answers

Common questions about this position

What skills are required for the Machine Learning Engineer role?

Candidates need a 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, and at least three years of experience developing neural network-based algorithms including data collection and training.

What does a typical day look like for this Machine Learning Engineer position?

You'll develop and optimize deep learning models for autonomous systems, curate and manage large-scale datasets, enhance training pipelines, improve model deployment, explore cutting-edge ML techniques, and collaborate with cross-functional teams.

What is the team like at Avride?

The team has over seven years of experience building self-driving solutions from the ground up with machine learning at the core, working on autonomous vehicles and delivery robots, and you'll collaborate with researchers, software engineers, and robotics experts.

Is this Machine Learning Engineer role remote?

This information is not specified in the job description.

What experience makes a strong candidate for this position?

A strong candidate will have at least three years of experience developing neural network-based algorithms, expertise in domains like computer vision or large language models, and hands-on skills in data management, model optimization, and deployment for real-world 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