Staff Deep Learning Engineer

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Staff Deep Learning EngineerFull-timeBusiness Segment: NBCU Corporate Compensation: USD 220000 - USD 260000 - yearlyCompany DescriptionNBCUniversal 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 DescriptionWe 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. QualificationsMaster's degree in Computer Science, Engineering, Mathematics, or a related fieldMinimum 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...