ZipRecruiter

Log In

1

Medical Imaging Machine Learning Jobs (NOW HIRING)

Apple Inc.

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

Seattle, Washington, United States Machine Learning and AI Our team delivers algorithms that power ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Prior experience with medical imaging standards and technologies is a strong plus Additional ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Prior experience with medical imaging standards and technologies is a strong plus Additional ...

Medpace, Inc.

Medical Imaging Analyst

Denver, CO · On-site +1

$60K - $120K/yr

Perform quality assurance checks on medical imaging data collected during medical and device ... Ongoing training and continuous learning opportunities throughout your career * An environment that ...

Paylocity

Machine Learning Engineer

We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

previous page

Showing results 41-60

All JobsMedical Imaging Machine Learning Jobs

Medical Imaging Machine Learning information

See salary details

$22.5K

$91.5K

$193K

How much do medical imaging machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for medical imaging machine learning in the United States is $91,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What types of teams do medical imaging machine learning professionals typically work with, and how is collaboration structured?

Medical Imaging Machine Learning specialists often collaborate closely with radiologists, data scientists, software engineers, and clinical researchers to develop and refine AI-driven diagnostic tools. The work environment is usually multidisciplinary, involving regular meetings, code reviews, and joint problem-solving sessions to ensure alignment between technical solutions and clinical needs. Team members may also work with regulatory experts to ensure compliance with healthcare standards. This collaborative approach ensures that models are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What are the key skills and qualifications needed to thrive in medical imaging machine learning?

To excel in Medical Imaging Machine Learning, a solid background in computer science, machine learning, and image processing, often supported by an advanced degree (MS or PhD) in a related field, is essential. Experience with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and familiarity with medical imaging standards (like DICOM) are commonly required. Strong analytical thinking, problem-solving abilities, and the ability to communicate complex technical concepts to multidisciplinary teams are highly valued. These competencies enable professionals to develop and implement effective AI solutions that enhance diagnostic accuracy and workflow efficiency in healthcare settings.

What is a medical imaging machine learning?

A Medical Imaging Machine Learning job involves developing and applying artificial intelligence (AI) techniques to analyze medical images, such as X-rays, MRIs, and CT scans. Professionals in this field use machine learning models to assist in disease detection, diagnosis, and treatment planning. They work with large medical datasets, optimize deep learning models, and collaborate with radiologists and healthcare professionals to improve diagnostic accuracy and efficiency. The role requires expertise in machine learning, computer vision, and medical imaging technologies.

More about Medical Imaging Machine Learning jobs
What cities are hiring for Medical Imaging Machine Learning jobs? Cities with the most Medical Imaging Machine Learning job openings:
What are the most commonly searched types of Medical Imaging Machine Learning jobs? The most popular types of Medical Imaging Machine Learning jobs are:
What states have the most Medical Imaging Machine Learning jobs? States with the most job openings for Medical Imaging Machine Learning jobs include:
What job categories do people searching Medical Imaging Machine Learning jobs look for? The top searched job categories for Medical Imaging Machine Learning jobs are:
Medical Imaging Machine Learning jobs near you
Infographic showing various Medical Imaging Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $91,529 per year, or $44 per hour.

Machine Learning Engineer

Apple Inc.

Seattle, WA • On-site

$175 - $308.50/hr

Other

Medical, Dental, Retirement

Re-posted 11 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Seattle, Washington, United States Machine Learning and AI

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.

Description

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.

Minimum Qualifications
  • Software engineering skills and proficiency in Python
  • Experience with PyTorch
  • BS degree and 10+ years of experience
Preferred Qualifications
  • Passion for delivering high quality features to large groups of diverse end-users
  • Excellent communication and experience working with multi-functional teams
  • Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
  • MS degree in computer vision, computer graphics, machine learning or related field
  • PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

#J-18808-Ljbffr

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

View All Apple Jobs

Apply