Machine Learning Engineer
Quick Summary
About Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design.
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what’s possible in smart manufacturing. In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You’ll work closely with our engineering team to transform raw data into actionable intelligence, enabling our robots to produce parts with greater precision, speed, and adaptability.
This is a hands-on role for someone who thrives at the intersection of research and production, someone who is just as comfortable wrangling messy datasets as they are architecting scalable ML pipelines. If you’re passionate about applying machine learning to real-world manufacturing challenges, we’d love to hear from you.
*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.
*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.
Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.
We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.
Location & Eligibility
Listing Details
- Posted
- April 14, 2026
- First seen
- April 15, 2026
- Last seen
- May 26, 2026
Posting Health
- Days active
- 41
- Repost count
- 0
- Trust Level
- 44%
- Scored at
- May 26, 2026
Signal breakdown
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