Machine Learning Engineer
NOX METALS3 days ago
Los Angeles, CA, USA or San Francisco, CA, USASenior
Responsibilities
- Identify high-value opportunities for machine learning and optimization.
- Build datasets, features, models, evaluation systems, and production pipelines.
- Establish strong baselines and deploy models into customer and internal workflows with software engineers.
- Monitor model quality, drift, latency, and business impact.
- Design safeguards and fallbacks for uncertain predictions.
- Work with operators and domain experts to understand constraints and failure modes.
- Improve data quality, explain model behavior, document experiments, and communicate tradeoffs.
Requirements
- Strong applied machine learning, statistics, and software engineering skills.
- Working proficiency in Python and SQL.
- Ability to turn operational problems into measurable learning problems.
- Experience deploying and maintaining models, not only training them.
- Rigorous evaluation practices and willingness to adapt based on evidence.
- Curiosity about factories, materials, and supply chains.
- Preferred experience with operations research, geometric optimization, forecasting, pricing, industrial data, logistics data, marketplace data, human-in-the-loop decision systems, or responsible production use of modern AI models.
Benefits
- Equity in Nox Metals.
- Company-paid medical, dental, and vision insurance.
- Full-time, in-person work in Los Angeles.
Categories
About NOX METALS
Nox Metals is a privately held, Detroit-based supplier of aluminum, steel, and other metals to U.S. manufacturers, using software, AI, and automation to speed quoting and delivery. The company sells metal stock and procurement services to factories, including regulated sectors such as aerospace and defense. Founded in 2025 and headquartered in Detroit, it focuses on shortening lead times for American manufacturing.