Machine Learning Engineer
Full Time
Chicago, IL
Posted 1 day ago
Job description
Sr Machine Learning Engineer
Job Description:
Senior Machine Learning Engineers – Power Tools
Job duties:
- Execute a lead role for the design, development, and verification of real-time machine learning algorithms for innovative power tools.
- Implement machine learning algorithms in embedded environments.
- Work both in Python and C/C++ environments.
- Manage the development of data collection methods, test plans/procedures and test cases for training, evaluation, and verification of machine learning algorithms.
- Collaborate with a world class team of cross functional engineers and project managers to deliver new-to-world solutions.
- Support the ongoing development of technology/product roadmaps and the execution of those strategies.
- Employ expertise from electrical and mechanical domains in tackling challenges as they arise.
- Identify new innovations and strategic opportunities while considering financial impact and competitiveness.
- Effectively communicate and motivate up, down, and across the organization to a diverse range of technical and non-technical team members.
- Perform technical writing and presentations with proficiency.
- Drive urgency and accountability, achieving key project cost and metrics.
- Own and drive new processes and procedures to meet the needs of a changing business.
- Evaluate and assess emerging technologies.
- Embrace power tools with sawdust and sparks.
Job Requirements:
Master’s or equivalent degree in Computer Science, Computer Engineering, Electrical Engineer or related field and two (2) years of experience in developing machine learning models or Bachelor’s or equivalent degree in Computer Science, Computer Engineering, Electrical Engineer or related field and five (5) years of experience in developing machine learning models. Experience must include:
- Time series modelling, including NLP, SLAM, ML forecasting, audio/video, and vibrational analysis related domains.
- Python and C/C++.
- Leading Framework, including Pytorch, Keras, or TensorFlow.
- Machine learning model development, optimization, cloud processing, data storage, pipelines, and embedded environments.
- Sensor technologies and their connectivity to microcontrollers.
Ability to travel up to 10% domestically and internationally.
Partial weekly work from home is allowed on a regular basis.
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