Senior Level Machine Learning Research Jobs

NBCUniversal is one of the world's leading media and entertainment companies. 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 own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. 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 world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

We are seeking an experienced Tech Lead to grow out and lead a team of MLOps engineers, data scientists and annotation tooling developers who will be building the backbone of all Machine Learning applied research at the organization. On the one hand, data annotation, validation, split management, curation, and database management for a web-hosted game development platform. On the other, training orchestration, queue management, load balancing, failure recovery, observability.

Key Responsibilities

• Infrastructure buildout: Steward the end-to-end planning, execution, and delivery of the data and training infrastructure for the organization.
• Cross-Functional Coordination: Act as the primary point of contact for the team that serves infrastructure to multiple other machine learning teams.
• Cost Management: Own the cloud spend and implement cost-tracking, resource allocation and lifecycle management.
• Developer Experience: Service mindset in making the day-to-day of ML engineers smooth, balancing engineering rigor with ease of use.

• Undergraduate degree in Computer Science.
• Proven experience as a Tech Lead in an AI/ML infrastructure team.
• 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 7 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 storage orchestration, data provenance, distributed training orchestration and deployment.
• Familiarity with Python, Git and the Unix shell.
• Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, a data platform, and observability dashboard.

Nice to Have

• Graduate degree in Computer Science with a focus on distributed systems, operating systems and virtualization.
• Experience with Adaptive or Lean methodologies and a DevOps culture.
• Familiarity with AWS and ETL orchestration.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $245,000-$270,000 (bonus eligible).

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

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