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NBCUniversal

Staff Deep Learning Engineer

RemoteUnited States only
Published
Role
AI / ML
Experience
Staff
Employment
Full-time
Company size
Enterprise
$220k–$260k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff-level deep learning engineer with 5+ years of industry experience, Python/Git/Unix fluency, and experience training/debugging neural networks. Needs strong math foundations and hands-on work with large 2D/3D media datasets, computer vision, and computer graphics.

Core skills

PythonDeep LearningComputer Vision

Required skills

GitUnix shell

Optional skills

C++

What you'll do

  • Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python.
  • Rely on mathematical techniques from linear algebra, probability, and geometry to build these systems.
  • 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.

What they require

  • Master's degree in Computer Science, Engineering, Mathematics, or a related field
  • Minimum of 5+ years of relevant industry experience, ideally within a fast-paced, high-growth tech environment.
  • Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.
  • Preferred: 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.
  • Effective collaboration and the ability to work closely with a founding team.
  • High attention to detail and the ability to meet key R&D milestones in an early-stage startup environment.

Benefits

  • Company sponsored benefits, including medical, dental and vision insurance
  • 401(k)
  • Paid leave
  • Tuition reimbursement
  • A variety of other discounts and perks

American media and entertainment conglomerate

🇺🇸 United StatesMediaEnterprisenbcuniversal.com

Details

Apply routeSmartrecruiters
$220k–$260k/yr