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Senior Deep Learning Research Jobs (NOW HIRING)

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123.70K - $169.90K/yr

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 ...

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

Rebar

Senior Deep Learning Engineer

New York, NY · On-site

$114.30K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural ... Published research developing SOTA computer vision or (or other DL) models * Experience with ...

Rebar

Senior Deep Learning Engineer

Manhattan, NY · On-site

$115.20K - $158.20K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural ... Published research developing SOTA computer vision or (or other DL) models * Experience with ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

At Seven Research, our close-knit team unites brilliant minds passionate about pushing ... Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

At Seven Research, our close-knit team unites brilliant minds passionate about pushing ... Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the ...

Nvidia

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137.20K - $180.90K/yr

We are looking for a Senior Deep Learning Software Engineer to design and build our automated ... research and engineering, with a strong background in both machine learning fundamentals and ...

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

As of May 28, 2026, the average yearly pay for senior deep learning research in the United States is $99,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $107,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Deep Learning ResearchData Scientist
Required CredentialsAdvanced degrees in AI, ML, or related fields; strong research backgroundDegree in CS, Statistics, or related; often requires experience in data analysis
Work EnvironmentResearch labs, R&D teams, academic settingsBusiness analytics, product teams, data-driven departments
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonFocus on advanced AI research and innovationFocus on data analysis and business insights

While both roles involve working with data, Senior Deep Learning Research primarily focuses on developing new AI models and algorithms, often in research settings. Data Scientists analyze data to generate insights and support business decisions. The roles overlap in data handling but differ in scope and objectives.

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What cities are hiring for Senior Deep Learning Research jobs? Cities with the most Senior Deep Learning Research job openings:
What are the most commonly searched types of Deep Learning Research jobs? The most popular types of Deep Learning Research jobs are:
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Senior Deep Learning Research jobs near you
Infographic showing various Senior Deep Learning Research job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.

Senior Deep Learning Engineer - Perception

Imagry

San Jose, CA • On-site

$123.70K - $169.90K/yr

Full-time

Posted 22 days ago

Job 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