Match score not available

Deep Learning Engineer (Remote - US)

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Contract: 
Salary: 
6 - 6K yearly
Experience: 
Senior (5-10 years)
Work from: 
California (USA), United States

Offer summary

Qualifications:

Strong foundational knowledge in machine learning, 3+ years of deep learning pipeline experience, Fluent in Python, Expertise in PyTorch, Nice to have: BS/MS in relevant field.

Key responsabilities:

  • Design, train, and deploy networks for 3D scene understanding tasks
  • Recruit and onboard qualified engineers
Compound Eye logo
Compound Eye SME
11 - 50 Employees
See more Compound Eye offers

Job description

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.

Responsibilities: 

  • Design, train, and deploy state-of-the-art networks for semantic segmentation, object detection, depth estimation, SLAM, and other tasks related to 3D scene understanding. 
  • Help to recruit and onboard similarly-qualified engineers.

To thrive in this role you have:

  • Strong foundation in machine learning.
  • 3+ years of academic or professional experience in developing and implementing deep learning pipelines for images or video.
  • Fluent in Python.
  • Deep knowledge of PyTorch.

Nice to have but definitely not required:

  • BS/MS degree in Computer Science, Computer Engineering or other relevant majors.
  • 5+ years of professional software development experience with strong engineering practices.
  • Familiar with C++.
  • Experience with self-supervised learning techniques.
  • Experience in optimizing NNs for constrained platforms (mobile or embedded).

We're looking for a great engineer to join our US team of twelve. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across four states. We will ensure you have everything you need to work from home and the option to work from our office in Redwood City, CA. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO. 

Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position. 

Compound Eye Applicant and Worker Privacy Notice

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Deep Learning Engineer Related jobs