Dreamworks Jobs (NOW HIRING)

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.

NBCUniversal est l'un des leaders mondiaux du secteur des medias et du divertissement. Nous creons des contenus d'exception, que nous diffusons a travers notre portefeuille de films, de programmes televises et de services de streaming, et que nous donnons vie grace a nos parcs a theme internationaux, nos produits grand public et nos experiences. Nous detenons et exploitons des marques de premier plan dans les domaines du divertissement et de l'information, notamment NBC, NBC News, NBC Sports, Telemundo, les chaines locales NBC, Bravo et Peacock, notre service de streaming premium finance par la publicite. Nous produisons et distribuons des films et des programmes de divertissement de premier ordre grace a nos puissants studios de cinema et de television, notamment Universal Pictures, DreamWorks Animation et Focus Features, ainsi qu'aux quatre studios de television mondiaux regroupes sous la banniere Universal Studio Group. Nous exploitons egalement des parcs a theme et des experiences de premier plan a travers le monde via Universal Destinations & Experiences, notamment l'Universal Orlando Resort, qui abrite l'Universal Epic Universe, et Universal Studios Hollywood. NBCUniversal est une filiale de Comcast Corporation. Rendez-vous sur www.nbcuniversal.com pour plus d'informations.

Notre impact repose sur l'amelioration des communautes dans lesquelles vivent et travaillent nos employes, nos clients et nos publics. Nous avons une riche tradition d'engagement social et veillons a ce que nos employes aient la possibilite de s'investir au sein de leurs communautes. Nous defendons une culture inclusive et nous nous efforcons d'attirer et de former une main-d'uvre talentueuse afin de creer et de proposer un large eventail de contenus refletant notre monde.

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. 

Nous sommes a la recherche d'un(e) ingenieur(e) en apprentissage profond ayant de l'experience dans la manipulation de grands ensembles de donnees multimedias 2D et 3D. Dans ce role, vous developperez des algorithmes cles a l'intersection de la vision par ordinateur et de l'infographie, afin de transformer des donnees a haute dimension en contenu a haute fidelite.

Responsabilites principals:

• Implementation d'algorithmes : Developper et implementer des algorithmes fondamentaux en apprentissage profond, vision par ordinateur et modelisation procedurale (inverse) en Python, en s'appuyant sur des concepts mathematiques tels que l'algebre lineaire, les probabilites et la geometrie.
• Recherche appliquee : Appliquer les avancees les plus recentes en apprentissage automatique et infographie pour resoudre des problematiques concretes.
• Collaboration interfonctionnelle : Collaborer etroitement avec les cofondateurs afin de comprendre la vision produit et traduire les besoins clients en jalons techniques.
• Mise a l'echelle et deploiement : Utiliser des systemes Unix pour deployer et tester du code sur des ensembles de donnees geospatiales a grande echelle, afin de generer du contenu 3D pour les clients.
• Gestion du code : Utiliser Git pour le controle de version et structurer les systemes complexes en composants modulaires et maintenables.

• Master's degree in Computer Science, Engineering, Mathematics, or a related field
• 3+ years of relevant industry experience in 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. 

• Maitrise en informatique, en ingenierie, en mathematiques ou dans un domaine connexe.
• Minimum de 3 ans d'experience pertinente dans un environnement technologique dynamique et en forte croissance.
• Experience demontree en tant qu'ingenieur(e) en apprentissage profond ou en recherche appliquee.
• Technologies principales : Excellente maitrise de Python, Git et des environnements Unix.
• Apprentissage automatique : Experience dans l'entrainement et le debogage de reseaux neuronaux, ou competences similaires (descente de gradient, optimisation non lineaire, apprentissage automatique classique).
• Mathematiques : Solide comprehension de l'algebre lineaire, des statistiques, des probabilites et des methodes numeriques.
• Integration de systemes (atout) : Experience avec le C++ moderne pour les pipelines de donnees et les systemes de production.

Qualites recherchees

• Communication : Capacite a collaborer efficacement au sein d'une petite equipe fondatrice evoluant rapidement.
• Execution : Grande attention aux details et capacite a atteindre des jalons cles en R&D dans un environnement de demarrage.

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 [email protected].