Imagry
CO-84 Deep learning team leader - Perception
Imagry, San Jose, California, United States, 95199
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** Work With Us – Careers at Imagry**> Work With Us – Careers at Imagry
** CO-84 Deep learning team leader - Perception**San Jose, CA
· Full-time
· Senior
**About The Position**Position: Deep learning team leader - PerceptionPosition E-mail: imagry.5A.141@comeetapply.comLocation: San Jose, Ca On--SiteWe 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 projectsDevise 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. – AdvantageA 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 companyPeople management skillsRepresentative personalityEligible to work in the USSkills that are considered an advantage:Publications in top-tier journals or conferences on algorithms, computer vision, or deep learningBasic Proficiency in C++.Experience with Linux.Source control with git.Experience with Jira or similar task management software.Salary- annual range: 190-210 K**Apply for this position** #J-18808-Ljbffr
Description Hotjar sets this cookie to check whether a user is included in the data sampling defined by the site's pageview limit. Description Hotjar sets this cookie to detect a user's first pageview session, which is a True/False flag set by the cookie. Description Google Analytics sets this cookie to calculate visitor, session and campaign data and track site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors. Description Google Analytics sets this cookie to store information on how visitors use a website while also creating an analytics report of the website's performance. Some of the collected data includes the number of visitors, their source, and the pages they visit anonymously. Description Google Analytics sets this cookie for user behaviour tracking.
Description Hotjar sets this cookie to identify a new user’s first session. It stores the true/false value, indicating whether it was the first time Hotjar saw this user. Description Hotjar sets this cookie when a user recording starts and when data is sent through the WebSocket. Description Hotjar sets this cookie when a Recording starts and is read when the recording module is initialized, to see if the user is already in a recording in a particular session. Description YouTube sets this cookie via embedded YouTube videos and registers anonymous statistical data.
Description Youtube sets this cookie to track the views of embedded videos on Youtube pages. Description YouTube sets this cookie to measure bandwidth, determining whether the user gets the new or old player interface. Description YouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen. Description YouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen. Description YouTube sets this cookie to store the user's video preferences using embedded YouTube videos. Description YouTube sets this cookie to store the user's video preferences using embedded YouTube videos. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available. Description Description is currently not available.
** Work With Us – Careers at Imagry**> Work With Us – Careers at Imagry
** CO-84 Deep learning team leader - Perception**San Jose, CA
· Full-time
· Senior
**About The Position**Position: Deep learning team leader - PerceptionPosition E-mail: imagry.5A.141@comeetapply.comLocation: San Jose, Ca On--SiteWe 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 projectsDevise 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. – AdvantageA 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 companyPeople management skillsRepresentative personalityEligible to work in the USSkills that are considered an advantage:Publications in top-tier journals or conferences on algorithms, computer vision, or deep learningBasic Proficiency in C++.Experience with Linux.Source control with git.Experience with Jira or similar task management software.Salary- annual range: 190-210 K**Apply for this position** #J-18808-Ljbffr