Senior Machine Learning Engineer at Hudl

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Sports, SoftwareIndustries

Requirements

Candidates must possess extensive experience in C++/Python, along with proficiency in several areas including Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. A proven track record of delivering impactful AI/ML products through close collaboration with product teams is essential, as is experience building, maintaining, and monitoring complex AI/ML systems at scale.

Responsibilities

As a Senior Machine Learning Engineer, the individual will be responsible for designing, building, and deploying ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches, and driving game-changing initiatives that utilize computer-vision and deep learning. They will also lead projects, collaborate closely with other teams and cross-functional leaders, and optimize the team’s ML lifecycle across annotation, training, deployment, and monitoring to ensure high standards and maximum impact.

Skills

C++

Python

Kubenetes

TensorRT

Nvidia DeepStream

Nvidia Jetson

AWS

Computer Vision

Deep Learning

MLOps

Model Deployment

System Design

Monitoring

Hudl

Video analysis tools for sports teams

About Hudl

Hudl provides tools for sports teams to capture, analyze, and learn from video and data. Their platform serves over 230,000 teams across 40 sports, including high school clubs and professional athletes. The service operates on a subscription model, offering performance analysis tools, AI-powered cameras for video capture, and online streaming for games. These smart cameras can livestream and record games, utilizing AI to ensure comprehensive coverage. Hudl also includes features for player recruitment, helping athletes connect with scouts and colleges. The company aims to enhance the growth of athletes, coaches, and teams by providing easy access to valuable information, ultimately maximizing their performance.

Lincoln, NebraskaHeadquarters

2006Year Founded

$115.6MTotal Funding

SERIES_DCompany Stage

Consumer Software, AI & Machine LearningIndustries

1,001-5,000Employees