Salary
💰 $215,136 - $307,337 per year
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPyTorch
About the role
- closely collaborate with research scientists
- improve model training pipelines
- optimize performance
- integrate models into production environments
- incorporate state-of-the-art research
- maintain a high-quality codebase
- enhance researcher experience
Requirements
- experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks
- experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure
- understand how to debug problems in machine learning training code
- communicate effectively with global teams
- experience optimizing code for performance
- learn new concepts and technologies quickly
- resourceful and proactive
- grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like
- interest in learning more about audio processing and music information retrieval
- health insurance
- six month paid parental leave
- 401(k) retirement plan
- a monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningmodel trainingfine-tuningPyTorchGPUcode optimizationdebuggingcomputer science conceptsaudio processingmusic information retrieval
Soft skills
collaborationcommunicationresourcefulnessproactivityquick learning