Staff Deep Learning Engineer

Posted Yesterday
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Hiring Remotely in New York, NY, USA
Remote or Hybrid
220K-260K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
NBCUniversal has a rich history of evolving the media and entertainment industry.
The Role
Implement deep-learning, computer vision, and inverse-procedural modeling algorithms in Python to convert large 2D/3D and geospatial datasets into high-fidelity 3D content. Apply cutting-edge ML and graphics research, deploy and test code on remote Unix machines, manage code with Git, and collaborate with founding leadership to translate product vision into technical milestones.
Summary Generated by Built In
Company Description
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.
Job Description
We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision and computer graphics, helping us turn high dimensional data into high-fidelity content.
Key Responsibilities
  • Algorithm Implementation: Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python. You will rely on mathematical techniques from linear algebra, probability, and geometry to build these systems.
  • Applied Research: Apply cutting-edge research in machine learning and computer graphics to solve real-world problems.
  • Cross-Functional Coordination: Work closely with our cofounders to understand high-level product vision and translate customer requirements into technical milestones.
  • Scaling & Deployment: Interact with remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets, ultimately generating 3D content for our customers.
  • Code Management: Use Git to manage source code and modularize complex implementation tasks into manageable, executable components.

Qualifications
  • Master's degree in Computer Science, Engineering, Mathematics, or a related field
  • Minimum of 5+ years of relevant industry experience, ideally within a fast-paced, high-growth tech environment.
  • Professional Experience: Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.
  • Industry Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace is highly valued.
  • Technical Proficiency:
  • Core Stack: Fluency with Python, Git, and the Unix shell.
  • ML Experience: Proven experience training and debugging artificial neural networks or adjacent experience (e.g., gradient descent, nonlinear optimization, or classical machine learning).
  • Math Foundations: A strong mathematical background covering linear algebra, statistics, probability, and numerical methods.
  • Preferred prior experience with modern C++ to interface with data ingestion and product pipelines.
  • Attributes:
  • Communication: Effective collaboration and the ability to work closely with a founding team.
  • Execution: High attention to detail and the ability to meet key R&D milestones in an early-stage startup environment.

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: $220,000 - 260,000 (bonus eligibility).
Additional Information
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.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].
For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

Skills Required

  • Master's degree in Computer Science, Engineering, Mathematics, or related field
  • Minimum of 5+ years of relevant industry experience
  • Proven experience as a Deep Learning Engineer or Applied Research Engineer in a fast-paced environment
  • Experience manipulating large 2D and 3D media datasets and working at the intersection of computer vision and computer graphics
  • Fluency with Python, Git, and the Unix shell
  • Proven experience training and debugging artificial neural networks or adjacent experience (gradient descent, nonlinear optimization, classical ML)
  • Strong mathematical background in linear algebra, statistics, probability, and numerical methods
  • Experience deploying and testing code on remote machines for large-scale geospatial datasets
  • Effective collaboration and communication skills to work closely with founding team
  • High attention to detail and ability to meet R&D milestones in an early-stage environment
  • Prior experience in robotics, smart grids, precision agriculture, game development, or aerospace
  • Preferred prior experience with modern C++ to interface with data ingestion and product pipelines

What the Team is Saying

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NBCUniversal Compensation & Benefits Highlights

  • Leave & Time Off Breadth Paid time off spans 15 vacation days, 10 company holidays, 7 personal “myDays,” 5 caregiving days, flexible sick time, and compassionate/bereavement leave for eligible U.S. employees, offering broad coverage for planned and unplanned needs.
  • Parental & Family Support Parental leave is presented at 16 weeks for primary caregivers (4 weeks for non‑primary) alongside fertility and adoption assistance and dedicated caregiving support.
  • Retirement Support A 401(k) with dollar‑for‑dollar matching on the first 6% of pay and access to financial guidance strengthens long‑term security.

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The Company
HQ: New York City, NY
Year Founded: 1926

What We Do

From film, television, news, theme parks, interactive media, and streaming, our people are at the center of it all. ​Here, we solve complex and business-critical problems. That’s why we’re looking for people to help us continue our evolution, imagining and delivering the most innovative and disruptive products and services through the latest tech advancements in the industry. ​ Here you can develop solutions. You’ll develop solutions that allow engineers to broadcast live TV from the comfort of their homes. These solutions will enable the use of our collection of hundreds of thousands of distinct intellectual properties across our film, television and streaming brands. Here you can transform. You’ll make decisions and solve complex problems by leveraging insights that come from data, building AI to help enable solutions to optimize every aspect of our content eco-system. Here you can build. You’ll build emerging immersive technologies that are used to power the broadcasts and streaming of global events like the Super Bowl and Olympics. You can create secure, elastic cloud-based services connecting parts of our global platform ecosystem that effect tens of millions of viewers, consumers and businesses that consume and love NBCUniversal’s content. And while you design, build and architect your career, we have the culture to make sure you’re supported. Here you can work and still live your best life! We’re leaders in our fields. We hire smart people and trust them to get the job done. We are never too busy to develop a fellow colleague. We understand our goals – or we ask. When we see something that needs doing – we do it. We make data-driven decisions. We fiercely believe in our talent and their growth. If you're ready to make an impact, here you can.

Why Work With Us

For us, it's more than just a work life. It's a daily passion. We take great pride in our legacy. We find fun in the challenge. We collaborate and inspire others. We're always creating, always solving and always ahead of competition.

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