About Hanomi
We’re Hanomi: an ambitious team of engineers and innovators dedicated to reshaping manufacturing workflows with AI-driven technology.
Our goal? Revolutionize engineering efficiency through state-of-the-art machine learning algorithms integrated with mechanical engineering heuristics.
We provide an opportunity to dive deep into exciting ML challenges applied to a very real problem—delivering value to an overlooked yet critical group: mechanical engineers. Physical products shape the world, and your contributions will have a tangible, lasting impact.
The Role: Machine Learning Intern
You'll experiment and innovate with diverse ML algorithms, tackling optimization problems at the intersection of AI, mechanical engineering, and computational geometry. Your mission is to explore, learn rapidly, and contribute meaningfully to our technology solutions.
What You’ll Do
- Experiment with and refine machine learning algorithms for complex optimization problems.
- Build and enhance low-latency ML pipelines incorporating mechanical engineering principles.
- Work hands-on with CAD data, learning computational geometry methods.
- Collaborate closely with senior engineers to develop and validate technical solutions.
What We’re Looking For
- Currently pursuing or recently graduated in Machine Learning, Mechanical Engineering, Computer Science, or related fields.
- Hands-on experience with machine learning algorithms and pipelines.
- Strong proficiency in Python (experience with C++ is a bonus).
- Solid foundation in mechanical engineering fundamentals, especially GD&T.
- Interest or familiarity with computational geometry is a plus.
- Quick learner, creative problem-solver, and clear communicator.
Why Hanomi?
- High-impact work: Directly contribute to innovative solutions shaping the manufacturing industry.