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Senior Research Engineer

2 months ago

San Diego, California, United States Netradyne Full time
Deep Learning Research Engineer

We are seeking a highly skilled and independent Deep Learning Research Engineer to join our fast-growing technology team at Netradyne. As a key member of our team, you will have the opportunity to work with cutting-edge technology and tackle complex problems in the field of deep learning using vast real-world datasets.

Responsibilities
  • Develop and implement deep learning algorithms to extract valuable insights from large-scale real-world vision data.
  • Design and commercialize algorithms characterizing driving behavior.
  • Innovate and develop proof-of-concept solutions showcasing novel capabilities.
Requirements
  • Ph.D. in Computer Science, Electrical Engineering, or a related field with publications in top conferences (CVPR/NeurIPs/ICML/ICLR).
  • Strong background in deep learning, machine learning, and computer vision.
  • Excellent programming skills - Python.
  • Proficiency in PyTorch or TensorFlow.
  • Experience with training large models with huge datasets.
Desired Skills
  • Experience with image, video, and time-series data.
  • Experience with road scene understanding (objects, lanes, interactions, signs, etc.).
  • Experience with person/driver scene understanding (pose, distracted, eye status etc.).
  • Experience with Predictive analytics.
Economic Package
  • Salary $145,000- $180,000
  • Company Paid Health Care, Dental, and Vision Coverage
  • Including Coverage for your partner and dependents
  • Three Health Care Plan Options
  • FSA and HSA Options
  • Generous PTO and Sick Leave
  • 401(K)
  • Disability and Life Insurance Benefits
  • $50 phone stipend per pay period

We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.