Deep Learning Engineer

• 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.

• Education: Graduate degree in Data Science Computer Science or a related field (or equivalent deep technical experience).
• 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.

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.

Gallery