Machine Learning Engineer II

Key Responsibilities

• Identify, develop, and validate ML-enabled features for outdoor power tools within the OP EE organization.
• Partner closely with cross-functional teams to translate customer needs into robust, data-driven solutions that can be demonstrated on-tool and matured toward production readiness.
• Framing ML use cases.
• Designing data-collection strategies and ground-truth methods.
• Performing data engineering and feature development.
• Training and tuning models in Python.
• Executing disciplined validation to characterize accuracy, robustness, and corner cases.
• Helping establish and improve team workflows and guidelines covering the end-to-end ML lifecycle—from problem definition through model training, validation, and deployment considerations.

Primary Job Requirements

• Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or a related scientific/engineering discipline with completed coursework, certification, or specialization in Machine Learning, Data Science, or a closely related area.
• Minimum 2 years of hands-on experience applying ML in an applied setting (e.g., embedded/edge, signal processing, sensing, or electromechanical products), including data collection and model validation.
• Demonstrated experience applying fundamental ML approaches (e.g., supervised learning for classification/regression, feature engineering, model selection, and hyperparameter tuning).
• Proficient in developing, debugging, and validating Python code, with experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
• Experience with modern software development practices and tools (Git-based workflows; familiarity with CI/CD and containers is a plus).
• Ability to develop and debug code in an embedded environment (C/C++ preferred), including bring-up and hardware-facing troubleshooting will be a plus.
• Basic knowledge of sensor technologies (e.g., IMUs, thermistors/temperature sensing, magnetic/optical sensing) and microcontroller interfacing.
• Strong problem-solving and system-thinking skills, with the ability to work in a fast-paced, prototype-to-demo environment.
• Strong technical communication skills and the ability to plan/execute work to meet project schedules.
• Demonstrated ownership of deliverables, including understanding dependencies and collaborating effectively with cross-functional stakeholders.

Perks and Benefits

• Competitive wages and a comprehensive benefits package.
• 401(k)
• Medical/dental/vision coverage
• Tuition assistance
• Vacation and holidays
• On-site gym with a managing health and wellness professional
• In-house training and development staff
• Subsidized cafeteria and Starbucks coffee