American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. The company is the supply chain behind it.
The company is a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. We use software and automation to supply metal to American factories faster than the industry thought possible.
We need an ML Engineer to build the intelligence layer of the company. Cut-time models, nesting scoring, demand intelligence, sales order parsing, dimensional vision, cert OCR, and the next ten things we have not built yet. Every machine, every order, every shipment generates data, and you turn it into a moat. The company is an employer with real opportunity for long term career growth, this is a place to build a career, not just hold a job.
Responsibilities
Own ML end to end across applied production work, novel research, and production deployment
Build cut-time models that predict how long every cut takes by alloy, thickness, geometry, and machine
Build nesting scoring and optimization models that make WAYNE smarter every day
Build demand intelligence and procurement models that tell us what to buy, when, and at what price
Build NLP and LLM features for sales order parsing, RFQ ingestion, and customer communication
Build vision and OCR systems for cert package automation and dimensional inspection
Ship features end to end, model, API, UI, deploy, monitor, no handoffs, no waiting
Own the full ML lifecycle, data collection, labeling, training, evaluation, deployment, monitoring, retraining
Build the data infrastructure and feature pipelines that future ML work depends on
Partner with the software team to embed ML into NOX NEST, WAYNE, and Gondor
Walk the floor, talk to operators, schedulers, and buyers, your training data starts where the work happens
Always ask questions, never guess when something is unclear
Look at every system and figure out how to make it better
Work safely every shift and hold your teammates to the same standard
You should be:
5+ years of ML engineering experience shipping production models to real users
Deep technical foundation across applied ML, foundation models or novel architectures, and production deployment
Strong in Python, modern ML frameworks (PyTorch, JAX, or comparable), and the surrounding tooling
Comfortable shipping production code, you build the API, the integration, and the UI when that is what the job needs
Fluent in MLOps, model monitoring, retraining, and the unglamorous work of keeping models alive in production
Experienced collecting, labeling, and structuring training data from messy real-world systems
Cracked with AI tools, modern frameworks, and data, you move 10x faster than engineers who do not
A builder at heart, you would rather ship a working v1 today than ship a perfect v3 next month
High attention to quality, every model, every dataset, every deployment
Always thinking about how to make systems better, you do not accept "this is how we have always done it"
Absolutely customer obsessed, every model eventually shows up as a part on a customer's dock
User obsessed, you sit with the operator, the scheduler, the buyer, you watch them work, and you build models they actually trust
A team player with a good attitude, you make the team better for everyone around you
Someone who takes ownership, if it is in production, it is your responsibility
Precise under pressure and reliable
Organized and detail oriented
Committed to safety, you follow every protocol, wear your PPE, and never cut corners that put people at risk
High agency, you handle big items alone and ask for help when needed
Low ego, you walk the floor, you talk to operators, you do the unglamorous work because it needs to get done
Not afraid to work outside normal hours when America demands it
Never says "that's not my job"
Requirements
Experience building ML for manufacturing, logistics, supply chain, or industrial environments
Experience integrating with hardware, PLCs, CNC controllers, or shop floor systems
Open source work, published research, or a portfolio of things you have built
Benefits
Equity in the company
This role is full time, in person in Detroit.
The company is an equal opportunity employer. We hire based on skill, attitude, and fit for the work, and we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, height, weight, marital status, or any other protected status under federal, state, or local law.