Staff Deep Learning Engineer

🕒 August 5

🗽 New York – Remote

🗽 New York – Remote

💵 $220k - $260k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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NBCUniversal

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• Implement core deep-learning, computer vision, and inverse-procedural modeling algorithms in Python • Apply mathematical techniques from linear algebra, probability, and geometry to build systems • Apply cutting-edge machine learning and computer graphics research to real-world problems • Work closely with cofounders to understand product vision and translate customer requirements into technical milestones • Deploy and test code on remote machines via a Unix shell using large-scale geospatial datasets • Generate 3D content for customers • Use Git to manage source code • Modularize complex implementation tasks into manageable, executable components

🎯 Requirements

• Master's degree in Computer Science, Engineering, Mathematics, or a related field • Minimum of 5+ years of relevant industry experience • Proven experience as a Deep Learning Engineer or Applied Research Engineer in a fast-paced environment • Prior experience in complex multidisciplinary industries such as robotics, smart grids, precision agriculture, game development, or aerospace is highly valued • Fluency with Python, Git, and the Unix shell • Proven experience training and debugging artificial neural networks or adjacent experience with gradient descent, nonlinear optimization, or classical machine learning • Strong mathematical background in linear algebra, statistics, probability, and numerical methods • Preferred prior experience with modern C++ • Effective collaboration and ability to work closely with a founding team • High attention to detail and ability to meet key R&D milestones in an early-stage startup environment

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) • Paid leave • Tuition reimbursement • Other discounts and perks • Bonus eligibility