Additional notes
Other
ML Engineer | Nox Metals | Detroit, MI
American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it.
Nox Metals 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. Nox Metals is an employer with real opportunity for long term career growth, this is a place to build a career, not just hold a job.
You will:
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"