MACHINE LEARNING ENGINEER
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Sep 22, 2025. Mindtrace scores B on the Alion truth index.
ABOUT US:
We are an AI-focused Series A startup led by experienced entrepreneurs and supported by leading VC investors. We are building brain-inspired intelligent systems that help manufacturers modernize their defect detection processes. Our proprietary Vision AI technology can create custom AI models using only a few training images.
You will join the company at the most exciting time when we are scaling up and getting traction with customers so you will be able to see your hard work deployed in the real world.
Applicants for this role ideally already reside in Western Michigan.
ROLE:
We are looking for talented Field Machine Learning Engineers to pioneer our next wave of AI-driven solutions. In this role, you will focus on deploying, monitoring, and maintaining machine learning models and image gathering hardware directly in operational environments, specifically within the realms of industrial manufacturing.
Working directly with our Engineering team, you will refine models based on real-time data and customer feedback, ensuring optimal performance and scalability. Your expertise will directly influence the continuous improvement and deployment of our AI Brains in field settings.
WHAT DO WE OFFER?
- Competitive salary and compensation package
- Generous vacation policy
- Hybrid working environment - home and client site
- Significant growth opportunities within an early-stage startup
WHAT WE ARE LOOKING FOR?
- Master’s degree in Engineering, Computer Science, or a related technical field.
- 3+ years of experience in deploying machine learning models in field environments, preferably within manufacturing and/or automotive sectors.
- Programming skills in Python and familiarity with cloud-based and edge computing environments.
- Proficient in machine learning frameworks like TensorFlow or PyTorch.
- Experience with real-time system monitoring and model performance tuning.
- Independent work style coupled with the ability to communicate complex data and methods effectively across different teams.
- Working knowledge within AWS, GCP & Azure cloud environments.
- Willingness to drive and work at various client locations as needed.
- Bonus: Familiarity with few shot learning and transfer learning techniques as well as model optimization.
We are an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, citizenship, marital status, disability, gender identity or Veteran status.
If you have any questions or if you would like to apply please email [email protected].