AI Engineer, Medical Imaging

OSI Engineering; Pleasanton (CA); Hybrid; USD 89,544 - 117,096; Part time

Job summary

A medical equipment manufacturing company in Pleasanton, CA is hiring a Senior AI Engineer for contract work, focused on optimizing AI models for medical imaging applications. The role requires over 5 years of experience, proficiency in TensorFlow and PyTorch, and a solid background in embedded systems. Competitive pay of $65-$85 per hour with a hybrid work model, needing visits to the office twice a month.

Qualifications

• 5+ years of experience in AI model development, training, and deployment.
• Experience integrating AI models into embedded environments.
• Background in medical imaging (e.g., IVUS, ultrasound) is a strong plus.

Responsibilities

• Train, evaluate, and optimize CNN-based AI models for medical imaging.
• Perform hyperparameter tuning and iterative refinement using TensorFlow and PyTorch.
• Integrate AI modules into embedded systems.

Skills

Deep expertise in convolutional neural networks (CNNs)

Experience with embedded system integration

Strong software engineering fundamentals

Proficient with TensorFlow

Proficient with PyTorch

Strong Python programming skills

Solid understanding of image processing techniques

Excellent problem-solving skills

Excellent communication skills

Tools

TensorFlow

PyTorch

Python

Job description

We are seeking a Senior level AI Engineer to join our algorithm team as a contractor, focused on developing and optimizing AI models for medical imaging applications. The ideal candidate will have deep expertise in convolutional neural networks (CNNs), experience with embedded system integration, and strong software engineering fundamentals.

This position plays a critical role in refining our AI pipeline for intravascular ultrasound (IVUS) imaging. You’ll be working alongside an established algorithm team with an existing infrastructure for data collection, training, and deployment. This is a Bay Area-based remote role with occasional onsite requirements (once or twice per month).

Responsibilities

• Train, evaluate, and optimize CNN-based AI models for medical imaging applications
• Perform hyperparameter tuning and iterative refinement of models using TensorFlow and PyTorch
• Support retraining efforts as new data is acquired from hospital partners
• Integrate AI modules into embedded systems (Windows or Linux-based with Intel CPU and small GPU)
• Collaborate with algorithm, engineering, and regulatory teams to ensure AI models meet technical and compliance standards
• Assist in basic image pre- and post-processing using Python
• Participate in design reviews, documentation, and regulatory discussions as needed

Requirements

• 5+ years of experience in AI model development, training, and deployment
• Proficient with TensorFlow and PyTorch
• Strong Python programming skills and a solid foundation in software engineering
• Experience integrating AI models into embedded environments
• Solid understanding of CNNs and image processing techniques
• Background in medical imaging (e.g., IVUS, ultrasound) is a strong plus
• Familiarity with regulatory requirements (e.g., FDA, ISO) is a plus
• Excellent problem-solving, communication, and documentation skills

Location

Pleasanton, CA Hybrid/ 2 Days in office per month

Duration

4+ months with possibility of extension.

Pay Range

Pay Range: $65-$85 per hour

No C2C or third party agencies

Seniority level

Mid-Senior level

Employment type

Contract

Industries

Medical Equipment Manufacturing

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