1

Urgently Hiring Medical Image Deep Learning Jobs

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

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 ...

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning ... Medical insurance * Vision insurance * Dental insurance * Commuter benefits * Disability insurance

Senior Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$63 - $81.25/hr

Required : • Demonstrated hands-on experience creating and deploying deep learning models • Experience curating synthetic and real-world image datasets • Solid software engineering foundation ...

Competitive Industry Pay * 100% Employer-Paid Medical Insurance Premium * HSA with Employer ... fit hiring objectives. Toyon Research Corporation will consider the individual candidate ...

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 ...

Showing results 41-60

Urgently Hiring Medical Image Deep Learning information

See salary details

$9

$17

$22

How much do urgently hiring medical image deep learning jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for urgently hiring medical image deep learning in the United States is $17.95, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.23 per hour, depending on experience, location, and employer.
What cities are hiring for Urgently Hiring Medical Image Deep Learning jobs? Cities with the most Urgently Hiring Medical Image Deep Learning job openings:
What are the most commonly searched types of Medical Image Deep Learning jobs? The most popular types of Medical Image Deep Learning jobs are:
What states have the most Urgently Hiring Medical Image Deep Learning jobs? States with the most job openings for Urgently Hiring Medical Image Deep Learning jobs include:
Infographic showing various Urgently Hiring Medical Image Deep Learning job openings in the United States as of July 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $37,332 per year, or $17.9 per hour.

Senior Deep Learning Engineer - Perception

Imagry

San Jose, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 20 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