Entry Level Computer Vision Deep Learning Engineer Jobs in Wakefield, MA

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.

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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.