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Deep Learning Engineer

Company Description

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we'll continue to create and deliver content that reflects the current and ever-changing face of the world.

Job Description

In this role, you'll be programming in Python to create the core software that powers advanced computer vision and modeling applications. These tools use complex math to interpret and generate visual data, like images or 3D models. 

You’ll get to work with the latest research in fields like artificial intelligence, computer vision (helping users “see” and understand images), and computer graphics (generating images or animations).  

The ideal candidate will have a proven track record of success in machine learning projects, a strong technical background, and excellent communication skills. 

We are agnostic to your choice of development environment; however, we need a convincing demonstration that you will be able to self-support in the environment of your preference.   

Responsibilities include, but not limited to: 

  • Implement, in Python, core deep-learning/computer vision and (inverse-) procedural modeling algorithms, with varying levels of oversight. These algorithms rely on mathematical techniques from linear, algebra, probability, and geometry. 
  • Apply cutting-edge research in machine learning, computer vision, and computer graphics. 
  • Work closely with leadership to understand high-level product vision and customer requirements. 
  • Utilize Git for effective source code management. 
  • Deploy and test your code on large scale geospatial datasets (and ultimately generate 3D content that will be available to users) This requires you to interact with remote machines via a Unix shell. 

Qualifications

  • Master's degree in Computer Science, Engineering, Mathematics, or a related field 
  • 2+ years of relevant industry experience in a fast paced, high growth tech environment. 
  • Proficiency in Python 
  • Experience training artificial neural networks or adjacent experience (e.g. gradient descent / nonlinear optimization / classical machine-learning) 
  • Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills 
  • Strong communication skills with the ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders. 
  • Hands-on experience with TensorFlow and Keras (or similar frameworks) in developing, training, and deploying deep learning models. 
  • Experience working with geospatial datasets and tools such as GIS, GeoPandas, or similar libraries. 

Desired Characteristics: 

  • Familiarity with modern C++ will allow you to better interface with other portions of our data ingestion and product pipeline. 
  • Experience with Git is preferred, but a background with Mercurial or other DVCs is an acceptable substitute. 
  • A mathematical background covering linear algebra, probability, multivariate calculus, geometry, and numerical methods. 
  • Our development and production environments are Linux and macOS based. Confidence in a Unix shell environment (e.g. bash) is essential for working in our setup. 
  • Problem-solving skills, attention to detail, and the ability to thrive in a fast-paced 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: $160,000 - $175,000.

We are accepting applications for this position on an ongoing basis.

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.

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What You Should Know About Deep Learning Engineer, NBCUniversal

As a Deep Learning Engineer at NBCUniversal, based in the heart of New York City, you'll be immersed in a vibrant atmosphere where innovation and creativity come alive. Your primary role will involve crafting advanced software using Python that underpins cutting-edge computer vision and modeling applications. Picture this: you'll be utilizing complex mathematical techniques to analyze and generate visual data, whether it’s striking images or intricate 3D models. Your tasks will encompass implementing essential deep learning algorithms, leveraging the latest research in artificial intelligence and computer graphics, and collaborating closely with leadership to align technical solutions with the overarching product vision. Thriving in a dynamic tech environment, you'll employ Git for efficient source code management and tackle large-scale geospatial datasets to produce engaging user content. We’re looking for someone with a robust technical background, who can easily communicate intricate concepts to varied audiences. Whether you're an experienced professional with a Master's degree in a related field or someone passionate about deep learning seeking to make an impact, NBCUniversal is the place for you to grow and shine. Join us in our mission to create and deliver exceptional content that resonates with audiences worldwide. We can't wait to see the fresh ideas you'll bring to the team!

Frequently Asked Questions (FAQs) for Deep Learning Engineer Role at NBCUniversal
What are the main responsibilities of a Deep Learning Engineer at NBCUniversal?

As a Deep Learning Engineer at NBCUniversal, your main responsibilities will include programming core algorithms for computer vision and modeling applications in Python. You’ll implement deep learning techniques, apply the latest machine learning research, and collaborate closely with leadership to achieve product goals.

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What qualifications are required for the Deep Learning Engineer position at NBCUniversal?

To qualify for the Deep Learning Engineer role at NBCUniversal, candidates should hold a Master's degree in Computer Science, Engineering, Mathematics, or a related field, coupled with at least 2 years of relevant industry experience. Proficiency in Python and hands-on knowledge of TensorFlow or Keras are key requirements.

Join Rise to see the full answer
How does NBCUniversal support the growth of its Deep Learning Engineers?

NBCUniversal supports the growth of Deep Learning Engineers through a culture of collaboration and continuous learning. The company offers benefits such as tuition reimbursement, enabling employees to pursue further education and develop their skills in cutting-edge technologies.

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What tools and technologies will I work with as a Deep Learning Engineer at NBCUniversal?

As a Deep Learning Engineer at NBCUniversal, you'll work with a variety of tools and technologies, including Python, TensorFlow, Keras, and Git. Familiarity with geospatial datasets and Unix shell environments will also be integral to your role.

Join Rise to see the full answer
Is there a focus on diversity and inclusion for Deep Learning Engineers at NBCUniversal?

Yes, NBCUniversal is dedicated to fostering a diverse and inclusive culture. The company has established initiatives that focus on diversity, equity, and inclusion, ensuring that every employee, including Deep Learning Engineers, feels supported and valued.

Join Rise to see the full answer
Common Interview Questions for Deep Learning Engineer
Can you describe a deep learning project you've worked on?

Share a specific project detailing your role, the technologies you used, and the outcome. Highlight challenges faced and how you overcame them, focusing on your problem-solving and technical skills as a Deep Learning Engineer.

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What experience do you have with Python for deep learning?

Discuss your background in Python, emphasizing libraries like TensorFlow and Keras. Provide examples of how you've utilized Python in real-world projects, touching on both development and deployment aspects of deep learning models.

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How do you stay up-to-date with advancements in machine learning?

Mention strategies you use to stay informed, such as attending conferences, reading research papers, contributing to open-source projects, or participating in online courses. Highlight your commitment to continuous learning in the field of deep learning.

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What are some challenges you've faced in deep learning projects?

Be honest about specific technical or project management challenges you've encountered. Focus on your approach to resolving them, showcasing your analytical thinking and adaptability as a Deep Learning Engineer.

Join Rise to see the full answer
Explain a complex deep learning concept to a non-technical audience.

Select a concept, such as neural networks, and simplify it using relatable analogies or straightforward language. This will demonstrate your strong communication skills, crucial for a Deep Learning Engineer at NBCUniversal.

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What role does data play in your deep learning projects?

Discuss the importance of high-quality data for training models. Highlight how you approach data collection, preprocessing, and evaluation to ensure the efficacy of the deep learning models you develop.

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How do you manage version control in deep learning projects?

Elaborate on your experience with Git or similar tools for version control. Discuss best practices for collaboration, tracking changes, and maintaining code quality as a Deep Learning Engineer.

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Are you familiar with using geospatial datasets?

Share your experience with geospatial datasets and any specific tools or libraries, such as GeoPandas. Provide examples of how you've integrated them into machine learning or deep learning projects.

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What would you consider when deploying a deep learning model to production?

Discuss factors such as scalability, model monitoring, and performance optimization that you would take into account when moving a deep learning model from development to production environments.

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Why do you want to work for NBCUniversal as a Deep Learning Engineer?

Share your motivation for joining NBCUniversal, including your passion for technology and its impact on entertainment. Emphasize how the company's commitment to diversity and innovation aligns with your professional goals.

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We are in business to create and deliver content so compelling it entertains, informs and shapes our world. We believe that the talent, creativity and diversity of our people are our greatest resources. We take our business seriously, but do no...

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DATE POSTED
April 11, 2025

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