Imagry makes it possible for vehicles and buses to drive themselves using vision-first AI, without HD maps or expensive sensors. The company delivers a hardware-agnostic, B2B SaaS autonomy stack (Imagry Cortex) that uses deep learning, computer vision, imitation learning, and neural networks to perceive environments and learn driving behavior in real time. The platform targets automotive OEMs, tier-1 suppliers, and public transit operators and integrates with existing vehicle platforms and fleet systems. Imagry’s mapless SAE L3/L4 software is deployed in public transit and passenger vehicle pilots and is positioned to scale across fleets and transit networks globally.
Imagry makes it possible for vehicles and buses to drive themselves using vision-first AI, without HD maps or expensive sensors. The company delivers a hardware-agnostic, B2B SaaS autonomy stack (Imagry Cortex) that uses deep learning, computer vision, imitation learning, and neural networks to perceive environments and learn driving behavior in real time. The platform targets automotive OEMs, tier-1 suppliers, and public transit operators and integrates with existing vehicle platforms and fleet systems. Imagry’s mapless SAE L3/L4 software is deployed in public transit and passenger vehicle pilots and is positioned to scale across fleets and transit networks globally.
We are seeking an experienced and capable
Deep learning Team Leader
to join our R&D team. The TL will manage and guide a team of engineers focused on developing and integrating novel vision-based Perception algorithms for our autonomous driving system. In addition to leading the team, they will work hands-on to research and implement innovative features using state-of-the-art deep learning methods.
This is a unique opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.
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Responsibilities:
Manage and technically lead a team of deep learning engineers, overseeing technical, project management and personal aspects.
Manage Perception projects allocated to the San Jose site.
Work closely with technical leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.
Plan, guide, and lead medium to long-term projects involving multiple engineers.
See projects through from research to deployment.
Supervise complex data pipelines, from the collection stage, through annotation, to models training.
Design and optimize deep neural networks, involving innovative feature engineering.
Take an End-to End responsibility over medium to long-term projects
Devise and implement performance metrics.
Communicate, present and visualize results.
Align the algorithms with the product needs.
Work together with HR to manage local recruitment processes (engage local recruits, interview, work with HR at HQ)
Qualifications:
M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. – Advantage
A proven track record of at least 2 years in managing and technically leading a team of 3 or more engineers, overseeing projects from the brainstorming stage through to successful deployment.
A proven track record of at least 5 years hands-on experience in developing deep learning algorithms.
Experience and knowledge in computer vision and image manipulation algorithms, Object Detection, Segmentation and classification.
In-depth, hands-on knowledge of deep learning fundamentals.
Hands-on experience with deep learning frameworks such as PyTorch.
Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry.
Proficiency in Python programming.
Experience in conducting long-term development and/or research projects, in either academia or industry.
Proficiency in English, both written and spoken.
Team player – fosters a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company
People management skills
Representative personality
Eligible to work in the US
Skills that are considered an advantage:
Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning
Basic Proficiency in C++.
Experience with Linux.
Source control with git.
Experience with Jira or similar task management software.
