NOX METALS
Manufacturing & IndustrialDirect Ashby career site

Machine Learning Engineer

Location
Los Angeles, CA · On-site
Job type
Full-time
Level
Mid-level
Listed
28 days ago

Skills & highlights for this role

  • machine learning
  • Python
  • SQL
  • model deployment
  • model monitoring

Also useful

  • operations research
  • geometric optimization
  • forecasting
  • pricing

Stated benefits & perks

  • Medical
  • Dental
  • Vision

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.

About NOX METALS

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.

Read the original posting

From NOX METALS's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Machine Learning Engineer job at NOX METALS located?

This Machine Learning Engineer position at NOX METALS is located in Los Angeles, CA (On-site). Always check NOX METALS's application page for specific state eligibility or relocation policies.

What qualifications are required for Machine Learning Engineer at NOX METALS?

For the Machine Learning Engineer role, NOX METALS highlights experience with machine learning, Python, SQL, model deployment, model monitoring. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Machine Learning Engineer position at NOX METALS?

This listing links directly to NOX METALS's Ashby application page. You can apply directly on NOX METALS's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.