Imagry Logo

Imagry

Deep learning team leader - Perception

Posted 29 Days Ago
Be an Early Applicant
In-Office
San Jose, CA, USA
190K-210K Annually
Senior level
In-Office
San Jose, CA, USA
190K-210K Annually
Senior level
Lead and manage a team of deep learning engineers developing computer vision and perception algorithms for autonomous driving. Oversee projects from research through deployment, supervise data pipelines and model training, design and optimize neural networks, establish performance metrics, align algorithms with product needs, and collaborate across global teams. The role also includes recruitment support and hands-on implementation using deep learning methods.
The summary above was generated by AI
Description

Position: Deep learning team leader - Perception

Position E-mail: [email protected]

Location: San Jose, Ca On--Site

We are seeking an experienced and capable Deep Learning Team Leader to join our R&D team. The Team Leader 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, the Team Leader 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.

Position reporting to the Perception Group Leader.

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.

Salary- annual range: 190-210 K

Imagry San Jose, California, USA Office

San Jose, United States

Similar Jobs

25 Minutes Ago
Remote or Hybrid
United States
Mid level
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads aftersales performance across an assigned dealership district by driving revenue, customer retention, customer experience, and KPI achievement. Advises dealer leadership, executes GM customer care and aftersales initiatives, analyzes operational and performance data, develops business plans, improves service lane traffic, and resolves warranty and customer concerns. The role requires frequent territory travel, strong automotive service and parts knowledge, Excel proficiency, and the ability to legally operate a motor vehicle.
Top Skills: Excel
25 Minutes Ago
In-Office
San Francisco, CA, USA
117K-298K Annually
Senior level
117K-298K Annually
Senior level
Cloud • Information Technology • Consulting
Leads enterprise new-business acquisition for managed cloud and advisory services. Builds outbound pipeline, manages complex multi-stakeholder sales cycles, exceeds quotas, closes recurring and professional-services deals, and develops C-suite relationships. Positions VMware, AWS, Azure, Google Cloud, hybrid-cloud, security, and infrastructure solutions. Influences cloud partners, develops business cases, coordinates cross-functional teams, and drives territory growth.
Top Skills: AWSGCPAzureVMware
27 Minutes Ago
Remote or Hybrid
United States
88K-141K Annually
Senior level
88K-141K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads GM’s Total Rewards Portal strategy, content governance, digital communications, and cross-functional project delivery. Develops roadmaps, audience-centered content, campaigns, editorial calendars, and accessibility standards. Manages stakeholders, vendors, approvals, and portal enhancements while measuring engagement through analytics, feedback, and reporting. Uses insights to improve content discoverability, employee understanding, portal adoption, and the overall Total Rewards experience.
Top Skills: Ai-Enabled Content ToolsContent Management SystemsPortal AnalyticsWeb Analytics

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account