ML Engineer

Job Summary

The ML Engineer will build the intelligence layer of Nox Metals, a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. Key responsibilities include developing cutting-edge models for predicting cut times, optimizing nesting, enhancing demand intelligence, and automating various processes.

About the Role

Nox Metals is committed to long-term career growth and offers a dynamic environment for professional development. The ideal candidate will own the entire ML lifecycle, from data collection to deployment and monitoring.

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
• Figure out how to make systems better, you do not accept "this is how we have always done it"

Requirements

• 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
• Absolutey 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"

Qualifications

• Experience building ML for manufacturing, logistics, supply chain, or industrial environments
• Strong vision and CV background, cert OCR, dimensional inspection, defect detection
• Strong optimization and operations research background, nesting, scheduling, routing
• Strong NLP and LLM background, structured extraction, agentic workflows, applied retrieval
• 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

Nox Metals offers a full-time position in person in Detroit. The company is committed to providing a safe and supportive work environment, and all employees are expected to adhere to safety protocols and wear personal protective equipment (PPE).