We are seeking a Senior Engineer (Machine Learning) to join a forward-thinking team focused on advancing machine learning solutions for medical imaging. This role provides an exciting opportunity to lead the development of innovative image processing solutions in the healthcare sector.

Key Responsibilities:

• Lead the research, design, and development of machine learning models for image processing tasks.
• Build optimized prototypes and ML solutions for medical imaging applications.
• Develop complementary pre- and post-processing algorithms to enhance model performance.
• Collaborate closely with cross-functional teams to integrate ML technologies into end-to-end software applications.
• Contribute to code reviews, software architecture design, and planning sessions.
• Mentor junior ML engineers, ensuring the team maintains high standards of work.

Key Skills & Experience:

• 8+ years of experience in machine learning, with a focus on image processing and medical applications.
• Experience with medical imaging modalities (e.g., CT, MRI, OCT).
• Strong background in developing machine learning solutions for image-related tasks such as segmentation, classification, and feature detection.
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and Keras.
• Experience in traditional image processing algorithms.
• Experience with multi-threaded programming and languages like C++, C#, or Rust is a plus.
• Familiarity with image processing libraries such as OpenCV, ITK, or VTK.
• Knowledge of cloud platforms (e.g., AWS, Azure) and cybersecurity practices for medical devices is a plus.

Please note: We are unable to provide VISA sponsorship for this position.

Thank you for your interest in this position. Due to the volume of applications, we may not be able to respond to every candidate individually. If your qualifications align with our needs, we will contact you directly for the next steps. We appreciate your understanding and thank you for taking the time to apply!

Position: Senior Engineer (Machine Learning)

Location: Boston, On-Site/Hybrid

Contract: Permanent

Start Date: By agreement