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Machine Learning Engineer II

Job in Anderson, Anderson County, South Carolina, 29622, USA
Listing for: Techtronic Industries - TTI
Full Time position
Listed on 2026-05-16
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Electrical Machine Learning (ML) Engineer II – Anderson, SC

TTI Consumer Power Tools, Inc. (Techtronic Industries) is a leader in power tools and hand tools, committed to accelerating transformation through superior, environmentally friendly cordless technology.

Your Role

The Electrical ML Engineer II will identify, develop, and validate ML‑enabled features for outdoor power tools within the OP EE organization. This role partners 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.

Key responsibilities include framing ML use cases, designing data‑collection strategies and ground‑truth methods, performing data engineering and feature development, training and tuning models in Python, and executing disciplined validation to characterize accuracy, robustness, and corner cases. The engineer will also help 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 (Num Py, 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.
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.
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