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Full Time Medical Image Deep Learning Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

... image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference ... Analyzing deep learning networks and developing compiler optimization algorithms. * Collaborating ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

... image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference ... Analyzing deep learning networks and developing compiler optimization algorithms. * Collaborating ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference ... Analyzing deep learning networks and developing compiler optimization algorithms. * Collaborating ...

Skydio, Inc

Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$170K - $277K/yr

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to ... At Skydio, our compensation packages for regular, full-time employees include competitive base ...

NBCUniversal

Deep Learning Engineer

Manhattan, NY · On-site

$160K - $175K/yr

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

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Full Time Medical Image Deep Learning information

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$28K

$45K

$58.5K

How much do full time medical image deep learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time medical image deep learning in the United States is $45,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $48,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Medical Image Deep Learning jobs? The most popular types of Medical Image Deep Learning jobs are:
Full Time Medical Image Deep Learning jobs near you
Infographic showing various Full Time Medical Image Deep Learning job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $45,043 per year, or $21.7 per hour.

Deep learning team leader - Perception

Imagry

San Jose, CA • On-site

Full-time

Re-posted 29 days ago

Job description

Position: Deep learning team leader - Perception

Position E-mail: imagry.5A.141@comeetapply.com

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


Requirements:
None