Deep Learning Engineer

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $160k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 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 cutting-edge research in machine learning and computer graphics to solve real-world problems • Work closely with our cofounders to understand high-level product vision and translate customer requirements into technical milestones • 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 • Use Git to manage source code and modularize complex implementation tasks into manageable, executable components

🎯 Requirements

• Graduate degree in Data Science, Computer Science, or a related field (or equivalent deep technical experience) • Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment • Prior experience in industries with complex multi-disciplinary teams 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 (e.g., gradient descent, nonlinear optimization, or classical machine learning) • 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

🏖️ Benefits

• medical, dental and vision insurance • 401(k) • paid leave • tuition reimbursement • a variety of other discounts and perks