Director, Scalable ML Engineering & Infrastructure
Tubi
New York (NY)
Hybrid
USD 292,000 - 417,200
Full time
14 days+
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Benefits offered by this job
Flexible Time Off Policy
Generous Parental Leave Program
Monthly Wellness Reimbursement
Job summary
A leading streaming service is seeking a Director of Machine Learning Engineering to lead a hybrid team focused on machine learning innovation. This role involves strategic direction for ML systems, managing high-performing teams, and architecting distributed systems for scalability. The ideal candidate should have over 10 years in ML and distributed systems, with proven leadership experience. Join a team that powers personalized streaming experiences with cutting-edge technology and strong emphasis on collaboration and growth.
Qualifications
10+ years of industry experience in machine learning and distributed systems.
3+ years of leadership experience managing technical teams.
Expertise in end-to-end ML systems, particularly in recommendations.
Responsibilities
Lead ML engineering and infrastructure teams to foster innovation.
Define and execute strategic roadmaps for ML systems.
Architect distributed systems for scalable ML workloads.
Skills
Machine Learning Engineering
Distributed Systems
Deep Learning Frameworks
Leadership
Communication
Education
MSc or Ph.D. in Computer Science or related field
Tools
TensorFlow
PyTorch
AWS
Databricks
Job description
A leading streaming service is seeking a Director of Machine Learning Engineering to lead a hybrid team focused on machine learning innovation. This role involves strategic direction for ML systems, managing high-performing teams, and architecting distributed systems for scalability. The ideal candidate should have over 10 years in ML and distributed systems, with proven leadership experience. Join a team that powers personalized streaming experiences with cutting-edge technology and strong emphasis on collaboration and growth.