Staff 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. 

Here you can be your authentic self. 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

• PhD in 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. 
• 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: $220,000- $260,000 (bonus eligible). 

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 and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.

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.