AI Directing

Tech Lead Manager, AI/ML Engineering (East Coast)

External listing

New York, NY, usRemoteFull-time$245,000–$270,000/year

External listing from the employer

Originally published by NBCUniversal through its SmartRecruiters careers source. Applications go to the employer's website, and AIMovieJobs is not the hiring employer.

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Quick facts

New York, NY, usLocationRemoteWorkplaceFull-timeJob type$245,000–$270,000/yearCompensationAI DirectingCategoryMid-Senior LevelExperienceJul 1, 2026PostedSep 8, 2026Last verifiedMar 7, 2027Expires

Role overview

We are seeking an experienced Tech Lead Manager/Engineering Manager to grow out and lead a forward-deployed team of Machine learning engineers who will be building applications for a graphically intensive simulation platform. QualificationsProven experience as a Tech Lead/Engineering Manager in a customer facing AI/ML team with a consulting mindset. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the

What the employer is looking for

Proven experience as a Tech Lead/Engineering Manager in a customer facing AI/ML team with a consulting mindset.
Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development or aerospace.
Prior experience having a team of around 10 direct reports, establishing ways of working, and developing them to be high performing.
High attention to detail and conscientiousness.
Ability to translate customer requests and turn them into actionable technical requirement documents in collaboration with ML engineers.
Fluency with the entire machine learning lifecycle, including infrastructure for data, training and deployment.
Background with visual computing, and game engines and real-time 3D rendering is preferred.
Familiarity with Python, Git, PyTorch and the Unix shell is preferred.
Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, an experiment tracking framework, a data dashboard.
Experience with Adaptive or Lean methodologies.
Agile or Scrum certifications.
Familiarity with AWS and ETL orchestration.
Graduate degree in Artificial Intelligence/Machine Learning/Data Science/Visual Computing or other related field.