Staff Deep Learning Engineer

NBCUniversal

Deep Learning Engineer building computer vision and 3D media algorithms for NBCUniversal. Applying machine learning, mathematical modeling, and geospatial data to generate high-fidelity customer content.

Posted 8/5/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $220,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in implementing deep-learning and computer vision algorithms using Python, with a strong mathematical foundation in linear algebra, probability, and statistics. Proven ability to collaborate effectively in a fast-paced startup environment while managing complex technical tasks and meeting R&D milestones.

Highest-signal resume keywords

Deep Learning EngineeringComputer Vision AlgorithmsPython ProgrammingUnix Shell DeploymentMathematical Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningComputer VisionMathematicsArtificial Neural NetworksGradient DescentNonlinear OptimizationClassical Machine Learning3D Content GenerationModular ProgrammingC++

Soft Skills

Effective CollaborationAttention to Detail

Tools & Technologies

GitUnix Shell

Certifications & Qualifications

Master's Degree in Computer ScienceMaster's Degree in EngineeringMaster's Degree in Mathematics

Industry Keywords

RoboticsSmart GridsPrecision AgricultureGame DevelopmentAerospace

Tech Stack

Tools & technologies

PythonUnix

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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