Hybrid Mechanical Engineer – Data, ML

Posted last month

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About the role

  • Mechanical Engineer at a Silicon Valley startup developing AI Copilot for design and manufacturing. Creating mechanical solutions and datasets to enhance AI learning and engineering processes.

Responsibilities

  • Design and build high-quality mechanical components and assemblies in CAD to serve as ground truth for training and evaluating AI systems.
  • Define and maintain standards for model quality, metadata, and annotation to ensure consistency and reliability across datasets.
  • Collaborate closely with ML, software, and product teams to shape dataset requirements and influence model behavior through representative engineering examples.
  • Manage and guide a team of external contractors, including writing SOPs, reviewing output quality, and ensuring timely delivery of data assets.

Requirements

  • Bachelor’s or Master’s degree in Mechanical Engineering or related field.
  • Strong foundation in machine design, product development, and design for manufacturing (DFM).
  • Experience with one or more CAD platforms (e.g., Siemens NX, SolidWorks) with the aptitude to pick up new ones quickly. Strong attention to detail and appreciation for data/model quality.
  • Excellent written and verbal communication skills, especially when documenting processes or communicating across teams.
  • Experience managing external contractors or vendors, including writing clear standard operating procedures (SOPs), reviewing work quality, and providing feedback.

Job title

Mechanical Engineer – Data, ML

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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