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Medical Imaging Machine Learning Jobs in California

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

Mango Inc

Computational Imaging Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

... microscopy, medical imaging, or other high-resolution imaging systems • Exposure to optical ... machine learning • Familiarity with hardware/software integration Company : At Mango, we believe ...

New

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred ...

TEKsystems

Machine Learning Engineer

San Diego, CA · Hybrid

$70 - $95/hr

Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Benefits We offer excellent medical, dental, and vision coverage, alongside a strong benefits ...

Apple

Machine Learning Engineer

Cupertino, CA

$216K - $324K/yr

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Intuitive

Senior Machine Learning Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

As a machine learning engineer on the Ion project, you will join a small team of experts in medical imaging, robotics, and software. You will play a lead technical role, working to conceptualize ...

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All JobsMedical Imaging Machine Learning JobsMedical Imaging Machine Learning Jobs in California

Medical Imaging Machine Learning information

See California salary details

$22K

$89.6K

$189K

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

As of Jul 15, 2026, the average yearly pay for medical imaging machine learning in California is $89,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,148.00 and $129,258.00 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 the Medical Imaging Machine Learning position, and why are they important?

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 job?

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.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in California? The most popular types of Medical Imaging Machine Learning jobs in California are:
What are popular job titles related to Medical Imaging Machine Learning jobs in California? For Medical Imaging Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Medical Imaging Machine Learning jobs in California look for? The top searched job categories for Medical Imaging Machine Learning jobs in California are:
What cities in California are hiring for Medical Imaging Machine Learning jobs? Cities in California with the most Medical Imaging Machine Learning job openings:
Medical Imaging Machine Learning jobs near you
Infographic showing various Medical Imaging Machine Learning job openings in California as of July 2026, with employment types broken down into 60% Full Time, 20% Part Time, 10% Contract, and 10% Nights. Highlights an 100% In-person job distribution, with an average salary of $89,627 per year, or $43.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

NTENT

Carlsbad, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.

Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.

The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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