Sr. Deep Learning Engineer - Autonomous Vehicle Startup
Location: Remote (must be available from 10 am to 4 pm Pacific Time)
Must be a US Citizen or Permanent Resident
The company is led by industry veterans with proven success in launching and building highly successful startups. The company has raised Series A funding from top investors, and has reached profitability. It has customers in a variety of industries, and its top customers are in the US defense sector.
The company's technology involves 3D perception and reconstruction, depth sensing, computer vision, and autonomous vehicles (as well as robots). The 3D vision technology they have built is the first of its kind and is superior to existing alternatives used by established companies.
The company will pay up to $200k in salary, plus equity which could be lucrative.
Job Responsibilities:
- About 20% research and 80% writing code.
- Utilizing deep learning, computer vision, and Convolutional Neural Networks.
- Designing, training, and deploying state-of-the-art networks for semantic segmentation, object detection, depth estimation, SLAM, and other tasks related to 3D scene understanding.
Qualifications:
- At least 3 years (the more the better) of professional experience with deep learning for computer vision.
- Experience with Convolutional Neural Networks
- Strong understanding of machine learning fundamentals.
- Proficiency with Python and PyTorch.
Nice to have:
- Advanced degree in Computer Science or equivalent experience.
- Skilled in C++.
- Object detection, 3D scene understanding, semantic segmentation, SLAM.
- Experience with self-supervised learning techniques.
- Experience optimizing Neural Networks for constrained environments (mobile or embedded).
About Skyrocket Ventures
Skyrocket Ventures is a recruiting firm for hundreds of high growth technology companies that range from industry leaders to top-tier startups. This opportunity is with one of our client companies for a full-time permanent hire. Please only apply if you are authorized to work in the U.S.
Please note that even if this job is not a perfect match, we encourage you to apply as long as it is in the ballpark. Companies are often flexible in hiring candidates who do not perfectly fit their written job description, as long as the most important qualifications are there and the candidate is good in general.
Most of the jobs we are recruiting for are not posted online, so if you would like to know of all the opportunities we have that match your interests and qualifications, then please get in touch with us.
After you apply to this job posting, we’ll consider you for this job as well as any other potential matches with our client companies. If we have any potential matches, we’ll share your resume with those companies and contact you about any interview opportunities we can get you.
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