--- title: Machine Learning Engineer at Nox Metals description: Nox Metals is hiring for the Machine Learning Engineer role in Los Angeles, CA. Full-time, on-site role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/machine-learning-engineer-at-nox-metals-01a12cc2-165d-7828-b234-b76ce3c7fb80 date: 2026-10-12T01:16:15Z og_description: Join Nox Metals as Machine Learning Engineer in Los Angeles, CA. Pays $151.7K–$167.7K per year. Full-time, on-site role. og_image: https://www.foundrole.com/og/52oc5i.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Nox Metals | | **Location** | Los Angeles, CA | | **Salary** | $151.7K/yr - $167.7K/yr | | **Type** | Full Time | | **Posted** | Oct 11, 2026 | ## Description **About Nox Metals.** American factories deserve a supply chain that moves as fast as they do. Nox Metals is building it, along with the tools that run it. We’re a technology company with operations in Metro Detroit and Los Angeles, 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. **The role.** We’re hiring a Machine Learning Engineer to build production systems that make quoting, material selection, planning, and factory decisions faster and more accurate. You will work with messy operational data, test ideas against real outcomes, and put the useful ones into production. This is applied ML. A model matters only when it improves a decision, survives real operating conditions, and earns the trust of the people using it. **You will:** - Identify high-value opportunities for machine learning and optimization - Build datasets, features, models, evaluation systems, and production pipelines - Establish strong baselines before adding complexity - Deploy models into customer and internal workflows with software engineers - Monitor model quality, drift, latency, and business impact - Design safeguards and clear fallbacks for uncertain predictions - Work with operators and domain experts to understand constraints and failure modes - Improve data quality and make model behavior explainable - Document experiments and communicate tradeoffs clearly **You are:** - Strong in applied machine learning, statistics, and software engineering - Comfortable working in Python and SQL - Rigorous about evaluation and skeptical of impressive-looking demos without evidence - Able to turn an operational problem into a measurable learning problem - Comfortable deploying and maintaining models, not just training them - Curious about factories, materials, and supply chains - Clear, practical, and willing to change course when the data disagrees **Nice to have:** - Experience with operations research, geometric optimization, forecasting, or pricing - Experience with industrial, logistics, or marketplace data - Experience building human-in-the-loop decision systems - Experience applying modern AI models responsibly in production **Benefits:** - Equity in Nox Metals - Company-paid medical, dental, and vision insurance This role is full time, in person in Los Angeles. **Nox Metals 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.** ## Skills - Python - Logistics - Artificial Intelligence - SQL - Statistics - Production Pipeline - Data Quality - Human-in-the-Loop - Forecasting - Machine Learning - Failure Mode and Effects Analysis (Fmea) ## Benefits - Vision Insurance - Dental Insurance - Health Insurance ## Related - [Data & Analytics jobs](https://www.foundrole.com/careers/data-and-analytics?utm_source=ai_markdown)- [Machine Learning & AI jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai?utm_source=ai_markdown)- [Artificial Intelligence Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer?utm_source=ai_markdown)- [Machine Learning Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer/machine-learning-engineer?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 276153 jobs - [Wholesale](https://www.foundrole.com/sectors/retail-and-wholesale/wholesale?utm_source=ai_markdown) — 34709 jobs - [Los Angeles, CA](https://www.foundrole.com/locations/us/california/los-angeles?utm_source=ai_markdown) — 20563 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 276153 jobs - [Wholesale](https://www.foundrole.com/sectors/retail-and-wholesale/wholesale?utm_source=ai_markdown) — 34709 jobs - [Los Angeles, CA](https://www.foundrole.com/locations/us/california/los-angeles?utm_source=ai_markdown) — 20563 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)