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Senior Deep Learning Engineer Jobs in California

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Description Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

Nvidia

Senior Deep Learning Algorithm Engineer

Santa Clara, CA · Hybrid

$122K - $168K/yr

NVIDIA is seeking a Senior Deep Learning Algorithms Engineer to advance Dynamo, our open-source distributed inference platform for large-scale, low-latency AI services. You'll lead architecture and ...

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Senior Deep Learning Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

How much do senior deep learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior deep learning engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Deep Learning Engineer vs Data Scientist?

AspectSenior Deep Learning EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops and deploys deep learning models, often in AI teamsAnalyzes data, builds models, and provides insights across departments
Industry UsageTech, AI, and research companiesFinance, healthcare, marketing, and tech sectors

While both roles require strong analytical skills and programming knowledge, Senior Deep Learning Engineers focus on designing and implementing deep learning models, whereas Data Scientists analyze data to generate insights. The roles often collaborate but serve different primary functions within organizations.

What are the most commonly searched types of Deep Learning Engineer jobs in California?

The most popular types of Deep Learning Engineer jobs in California are:

What cities in California are hiring for Senior Deep Learning Engineer jobs?

Cities in California with the most Senior Deep Learning Engineer job openings:

Senior Deep Learning Engineer - Perception

Imagry

San Jose, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 28 days ago

Job description

Description
Senior Deep Learning Engineer, Computer Vision
imagry.E4.E30@comeetapply.com
Location: San Jose, CA , On Site
We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team.
The engineer will work on devising, developing, and integrating novel deep-vision-based perception algorithms at the heart of our autonomous driving system.
This is an 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 report to the Perception Team Leader in San Jose.
Responsibilities:
Cooperate with the SJ site Deep Learning Engineers, Safety Drivers & Test Engineers.
  • Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.
  • Supervise complex data pipelines, from the collection stage, through annotation, to model training.
  • Design and optimize deep neural networks ( Requires innovative feature engineering).
  • Assume 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.

Requirements
Requirements:
  • M.Sc. or equivalent work experience in CS, EE, Physics, or other quantitative fields from a leading university. Ph.D. - Advantage
  • A proven track record of at least 3 years of hands-on experience in developing deep learning algorithms
  • Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation
  • 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 - Able to foster a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company
  • 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

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