Senior Signal Processing and Machine Learning Engineer—Veterinary Ultrasound Systems

Ei Medical Imaging - Loveland, CO

Full-time - Senior

Remote - Loveland, CO

Miscellaneous Manufacturing

About the position

The Senior Signal Processing and Machine Learning Engineer will be responsible for designing and implementing advanced signal processing algorithms and machine learning models specifically for veterinary ultrasound systems. This role involves collaboration with cross-functional teams to enhance image quality, enable real-time analysis, and improve diagnostic capabilities, ultimately contributing to advancements in animal healthcare.

Responsibilities

• Design and develop signal processing algorithms for veterinary ultrasound applications, including image enhancement and Doppler signal processing.
• Guide the implementation of machine learning models for automated diagnosis and measurements using large datasets.
• Collaborate with hardware engineers to optimize algorithms for embedded platforms, considering computational complexity and power consumption.
• Integrate signal processing and machine learning algorithms into the ultrasound system with software engineers.
• Conduct performance evaluation and validation of algorithms using simulated data and clinical studies.
• Stay updated on advancements in signal processing, machine learning, and veterinary medicine to enhance products.
• Contribute to design reviews and drive continuous improvement in methodologies.

Requirements

• Master's or Ph.D. degree in Biomedical Engineering, Software Engineering, Electrical Engineering, Computer Science, or a related field.
• 7+ years of experience in signal processing algorithm development and machine learning, preferably in medical imaging or ultrasound applications.
• Strong knowledge of signal processing techniques, including filtering and spectral analysis.
• Experience with Doppler signal processing techniques for blood flow analysis.
• Familiarity with speckle noise reduction methods.
• Proficiency in MATLAB, Python, or other programming languages for algorithm development.
• Experience with real-time implementation of algorithms on embedded platforms.
• Experience in developing and deploying machine learning models, familiar with TensorFlow or PyTorch.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills and ability to collaborate with teams.

Nice-to-haves

• Familiarity with DSPs, FPGAs, or GPUs for algorithm implementation.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge technology with a talented team.
• Career growth and development opportunities.
• Flexible work environment with options for remote work and flexible hours.