Machine Learning Engineer

Key Skills

Java Programming, Python Programming, SQL, DevOps, Machine learning techniques, Deep Learning, MLOps tools, Video coding and processing

Job Description

Auris Health, Inc., part of the Johnson & Johnson family of companies, is redefining medical interventions. By combining advancements in medical robotics, instrumentation, navigation, and data science, we are building intelligence platforms capable of growing the applicability of robotics to a new spectrum of medical procedures. We are seeking a hardworking individual for a Machine Learning position within the Algorithms & AI team. You will work closely with other Research Scientists, Data and Software Engineers to develop solutions in the areas of robotic vision and image understanding. This will be an excellent opportunity to develop your skills in solving complicated problems and for next-generation robotic platforms!

Core Job Responsibilities:

• Build reproducible Machine Learning pipelines for automated analysis of surgical procedure data, such as surgical skill and workflow recognition models, computer vision algorithms, metrics-driven classification of procedures performance, and anomaly detection in medical cases.
• Integrate new algorithms into the data processing and analytical pipelines.
• Develop innovative Machine Learning and algorithmic solutions for context-aware flexible robotics medical procedures.
• Implement and verify algorithm performance in benchtop and clinical settings.

Qualifications

Required Qualifications:

• Master’s degree in Robotics, Computer Science, Data Science, Mathematics, Physics, Mechanical Engineering, or similar fields.
• Hands-on experience with machine learning model deployment and cloud infrastructure.
• Understanding of deep-learning algorithms, such as scene reconstruction, segmentation, object tracking, pose estimation.
• Strong problem solving and Python coding skills.

Desired Qualifications:

• Familiarity with MLOps best practices
• Experience building data access and visualization tools.
• Experience with DevOps, CICD, and tools like Jenkins.
• Experience with medical robotic systems.