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Versant

Runs cable news, sports and entertainment channels

Lead Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeEnglewood Cliffs, NJ, USA$190k - $210k /yr

About the Job

Requirements

  • 8–12+ years of experience in machine learning, applied artificial intelligence, and distributed systems, including significant experience operating models in production.
  • A proven track record of architecting and scaling end-to-end machine learning systems in high-traffic production environments.
  • Deep expertise in Python and modern machine learning frameworks, with strong software engineering fundamentals.
  • Demonstrated experience designing evaluation frameworks, monitoring strategies, and feedback loops for continuously improving model quality and safety.
  • Strong experience with large language models, retrieval systems, and generative artificial intelligence, including real-world integration into applications.
  • Experience building or contributing to shared machine learning platforms, internal artificial intelligence tooling, or reusable services used across multiple teams or business units.
  • A strong understanding of distributed systems, data engineering, cloud infrastructure such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and cost/performance trade-offs at scale.
  • Experience partnering cross-functionally with product, engineering, and non-technical stakeholders, with the ability to influence senior leadership and translate ambiguity into execution.

Responsibilities

  • Set the technical vision for machine learning and artificial intelligence at VERSANT, translating business and newsroom priorities into a focused execution roadmap.
  • Architect and implement end-to-end machine learning systems spanning data, training, evaluation, deployment, and monitoring across computer vision, language, and retrieval domains.
  • Make model and systems decisions that balance performance, latency, cost, and long-term maintainability at scale.
  • Lead model evaluation and monitoring strategy by defining offline and online evaluation frameworks, establishing performance benchmarks, and implementing feedback loops that improve model quality, safety, and real-world impact.
  • Develop expertise in the artificial intelligence vendor landscape, including foundation models, tooling, and infrastructure providers, and guide teams in selecting solutions for specific use cases.
  • Identify cross-brand leverage points and develop reusable artificial intelligence primitives, application programming interfaces, and shared services that reduce duplication and scale across the VERSANT portfolio.
  • Partner with Editorial and product leaders to embed artificial intelligence into newsroom workflows, content intelligence, and audience experiences.
  • Partner with software engineering teams to ensure artificial-intelligence-powered applications are delivered with reliability, resiliency, and scalability as first-order requirements.
  • Mentor engineers and maintain technical excellence across the machine learning lifecycle.

Desired Qualifications

  • Experience in media, content, recommendation, search, or newsroom-adjacent systems is a strong plus.

About the Company

Versant

Runs cable news, sports and entertainment channels

Versant runs cable news, sports and entertainment networks along with digital services for movie fans and golfers. Its channels cover business news on CNBC, political news and opinion, sports on USA Network and Golf Channel, and entertainment on E!, SYFY and Oxygen. On the digital side, Fandango sells movie tickets and digital rentals, Rotten Tomatoes collects film and TV reviews, and GolfNow books tee times at golf courses. Pay-TV providers pay fees to carry its channels, advertisers buy commercial time, and the digital services earn money on each ticket, rental or booking. Comcast formed Versant in 2025 from part of NBCUniversal and spun it off as a separate public company in January 2026, with headquarters in New York City.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2025

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