ML Engineer
$118k - $145k • Detroit • FullTime
Posted 5mo ago
Job Location
Detroit
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Nox Metals is seeking an ML Engineer to develop the company's intelligence layer, transforming data from every machine, order, and shipment into a competitive advantage. This role involves building various predictive and optimization models, including cut-time, nesting, demand intelligence, and sales order parsing. The engineer will own ML projects end-to-end, from data collection and model training to production deployment and monitoring, working closely with the software team to integrate ML into core company systems. This is an opportunity to build a long-term career in a company that uses software and automation to revolutionize the supply chain for American factories.
Responsibilities
- Own ML end-to-end across applied production work, novel research, and production deployment
- Build cut-time models to predict cutting duration based on various factors
- Develop nesting scoring and optimization models
- Create demand intelligence and procurement models
- Build NLP and LLM features for sales order parsing, RFQ ingestion, and customer communication
- Develop vision and OCR systems for automation and inspection
- Ship features end-to-end, including model, API, UI, deployment, and monitoring
- Manage the full ML lifecycle: data collection, labeling, training, evaluation, deployment, monitoring, and retraining
- Build data infrastructure and feature pipelines for future ML work
- Partner with the software team to embed ML into company platforms
- Engage with operators, schedulers, and buyers to gather insights and training data
- Continuously seek to improve systems and processes
- Ensure safe working practices
Requirements
- 5+ years of ML engineering experience shipping production models
- Deep technical foundation in applied ML, foundation models, or novel architectures, and production deployment
- Strong proficiency in Python and modern ML frameworks (PyTorch, JAX, or comparable)
- Experience shipping production code, including API, integration, and UI development
- Fluency in MLOps, model monitoring, and retraining
- Experience collecting, labeling, and structuring training data from real-world systems
- Proficiency with AI tools, modern frameworks, and data
- A builder mentality, prioritizing shipping working versions
- High attention to quality in models, datasets, and deployments
- Customer and user obsession, building models that users trust
- Team player with a positive attitude
- Takes ownership of production systems
- Precise, reliable, organized, and detail-oriented
- Committed to safety protocols
- High agency and ability to handle tasks independently
- Low ego and willingness to perform necessary tasks
Benefits
- Equity in Nox Metals
- Company-paid medical, dental, and vision insurance