Machine Learning Engineer 2

Max Payrate: BR
Onsite - Min 4 days a week

Machine Learning Engineer: In new product design role, develop machine learning applications that support the improvement of product/system performance and quality through data analysis and design controls. Build and share python machine learning applications (such as streamlit, gradio). Analyze test report data, identify non-conformances, generate concise and accurate summaries, and recommendations. Extract and analyze multiple data formats, including text and image. Work with cross-functional software and QA teams to determine application requirements. Develop APIs to interface with commercial applications and SQL databases. Support human-in-the-loop analysis and application usage. Contribute to the strategy for reliability assessment and verification of robotic surgical systems and instruments. Log issues found within the issue tracking system.

Required Skills and Experience: Minimum 3 years of experience developing machine learning and data applications. Strong experience with Python is required. Experience with Linux environments. Troubleshooting mindset, an ability to break down a system or process systematically and effectively into subparts to identify failure mechanisms. Excellent documentation skills and ability to communicate effectively at all levels of the organization. BS or above in Computer Science and Engineering or related fields

Survey Tip: Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages. Engineers involved with artificial intelligence initiatives may be an appropriate match to this job family. Incumbents working in pure research should be matched to the Research Scientist/Engineer (5391-5396).