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Medical Ai Engineer Jobs (NOW HIRING)

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field -- or equivalent practical experience. * Several years of experience in ML evaluation or medical imaging AI.

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - or equivalent practical experience. * Several years of experience in ML evaluation or medical imaging AI.

GDIT

AI/ML Delivery Engineer

WV · On-site +1

... medical AI imaging. They bridge data science, software engineering, platform engineering, and security to deliver robust, governed, cost-aware, fit-for-mission AI solutions. Solution Design and ...

Max AI, Inc.

AI Engineer

Birmingham, MI · On-site

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

Max AI, Inc.

AI Engineer

Birmingham, MI · On-site

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

Collate

AI Engineer

San Francisco, CA · On-site

Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was ... Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ...

Max AI, Inc.

AI Engineer

Ann Arbor, MI

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

Collate

AI Engineer

San Francisco, CA · On-site

Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was ... Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

LawPro.ai

... medical record summarization and legal document analysis. * Proactive Model Transition Planning ... Requirements * 5+ years of AI/ML engineering experience evaluating, fine-tuning, and deploying ...

LawPro.ai

OH · On-site

... medical record summarization and legal document analysis. * Proactive Model Transition Planning ... Requirements * 5+ years of AI/ML engineering experience evaluating, fine-tuning, and deploying ...

Tata Consultancy Service Limited

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Role - AI Engineer Experience Required -8+ Years We are seeking a highly skilled AI Engineer with ... Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family ...

Protingent

AI Engineer

Santa Clara, CA · On-site

$55 - $63/hr

Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation - from Software and Aerospace to AI, Clean Tech, Medical Devices ...

NinjaTech AI

Applied AI Engineer

San Francisco, CA · On-site

$80K - $120K/yr

We attach an Applied AI Engineer to every large enterprise account. They embed with the customer ... Full benefits (medical / dental / vision, etc.). Equal opportunity NinjaTech AI is an equal ...

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Medical Ai Engineer information

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How much do medical ai engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for medical ai engineer in the United States is $44.03, according to ZipRecruiter salary data. Most workers in this role earn between $34.86 and $51.92 per hour, depending on experience, location, and employer.

What is a medical AI engineer?

Medical AI Engineers are professionals who design, develop, and implement artificial intelligence solutions specifically for healthcare applications. They work on projects such as diagnostic tools, predictive models, and medical imaging analysis to improve patient outcomes and streamline clinical workflows. Their work combines expertise in machine learning, data science, and medicine, often collaborating with clinicians and researchers to ensure that AI systems are accurate, ethical, and secure. Medical AI Engineers play a crucial role in advancing medical technology and making healthcare more efficient and accessible.

What are some common challenges medical AI engineers face when integrating AI solutions into healthcare settings?

Medical AI Engineers often encounter challenges such as ensuring data privacy and compliance with healthcare regulations like HIPAA, managing the complexity and variability of clinical data, and achieving interoperability with existing hospital information systems. Additionally, they must work closely with clinicians and IT staff to validate models and ensure that AI outputs are clinically relevant and actionable. Overcoming these challenges requires strong communication skills, a deep understanding of both AI technologies and healthcare workflows, and a proactive approach to continuous learning.

What are the key skills and qualifications needed to thrive as a medical AI engineer, and why are they important?

To thrive as a Medical AI Engineer, you need a solid background in computer science, machine learning, and biomedical engineering, often supported by relevant degrees or certifications. Familiarity with programming languages like Python, medical imaging software, and platforms such as TensorFlow or PyTorch is essential. Strong problem-solving abilities, collaboration, and clear communication skills help translate complex clinical needs into technical solutions. These competencies ensure the development of reliable, ethical AI systems that improve patient outcomes and meet healthcare standards.

What is the difference between Medical Ai Engineer vs Data Scientist in Healthcare?

AspectMedical Ai EngineerData Scientist in Healthcare
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of healthcare dataDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentHealthcare tech companies, hospitals, research labsHealthcare organizations, research institutions, tech firms
Industry UsageDevelops AI models for medical diagnostics, imaging, and treatmentAnalyzes healthcare data to find insights, trends, and improve patient outcomes

Medical Ai Engineers focus on creating AI solutions specifically for medical applications, while Data Scientists analyze healthcare data to inform decisions. Both roles require strong technical skills and often overlap, but Medical Ai Engineers are more involved in developing AI models for clinical use.

What cities are hiring for Medical Ai Engineer jobs?

Cities with the most Medical Ai Engineer job openings:

Infographic showing various Medical Ai Engineer 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 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $91,574 per year, or $44 per hour.

AI Engineer - Medical Imaging & Surgical Robotics

Philips

Cambridge, MA • On-site

$129K - $205K/yr

Full-time

Retirement, PTO

Posted 12 days ago

Philips rating

8.3

Company rating: 8.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

36th of 160 rated electronics manufacturers

Job description

Job Title
AI Engineer - Medical Imaging & Surgical Robotics
Job Description
AI Engineer - Medical Imaging & Surgical Robotics (Cambridge, MA)
Join Philips to help shape the next generation of intelligent surgical robotics. In this role, you will work with robotics, software, and clinical experts to develop first-of-a-kind computer vision medical AI solutions that advance autonomy, decision-making, and workflow intelligence for image-guided procedures.
Your role:
  • Develop and apply AI and computer vision algorithms for medical imaging and image-guided surgical robotics applications.
  • Design, train, evaluate, and optimize deep learning models, including convolutional neural networks, vision transformers, and other modern vision architectures for medical image understanding.
  • Develop methods for object detection, segmentation, registration, image interpretation, tracking, and quantitative image analysis across medical imaging data.
  • Work with imaging modalities relevant to image-guided therapies, such as X-ray, fluoroscopy, DSA, CT, CTA, CBCT, and related 2D/3D imaging sources.
  • Contribute to multimodal sensing and image-based localization methods that support robotic perception, device awareness, and navigation workflows.
  • Develop algorithms and software in a medical device environment, with attention to robustness, traceability, verification, and clinical relevance.
  • Contribute to uncertainty estimation, safety monitoring, failure detection, and performance characterization for AI-enabled imaging and robotic systems.
  • Partner closely with system engineering, robotics, software, clinical, regulatory, and product teams to translate algorithmic concepts into practical, production-oriented solutions.

You're the right fit if:
  • You have a Master's degree with 2+ years of experience OR a PhD in Computer Science, Biomedical Engineering, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
  • Your skills include:
    • You have strong experience in computer vision, medical image analysis, or machine learning applied to imaging data.
    • You have hands-on experience developing deep learning models using modern AI/ML frameworks, with practical knowledge of model training, evaluation, validation, and deployment.
    • You have experience with medical image processing techniques such as segmentation, registration, detection, tracking, feature extraction, or 2D/3D image analysis.
    • You are familiar with medical imaging modalities used in image-guided therapies, especially X-ray, CT, CTA, CBCT, 3D rotational angiography, or DSA. Prior experience with these modalities is highly preferred.
    • You have strong programming skills in Python. Experience with C++, software engineering best practices, CI/CD, and production-quality code is preferred.
    • You have experience, or strong interest, in uncertainty estimation, safety-bounded AI, runtime monitoring, robustness testing, or fail-safe behavior for AI-enabled systems.
    • You are comfortable working in a regulated medical device environment and can contribute to technical documentation, validation evidence, and cross-functional design discussions.
    • Publications or research experience in medical image computing, computer vision, or related venues such as MICCAI, IEEE TMI, CVPR, or similar are a plus.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.
  • You possess excellent written and verbal communication skills and are self-motivated with good organizational and time management skills as well as a strong desire to learn and adapt to new technologies and challenges.

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations.
This is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details
The pay range for this position in Cambridge, MA is $129,000 to $205,000.
The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here.
At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
Additional Information
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Cambridge, MA.
#LI-PH1
This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

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