NOX METALS
Machine Learning Engineer
$152K–$168K
Los Angeles +1 · On-site · Full-time · Posted Oct 11, 2026
- Location
- Los Angeles
San Francisco
About the job
Build and deploy applied machine learning and optimization systems that improve quoting, material selection, planning, and factory decisions.
What you'll do
- Identify high-value opportunities; build datasets, features, models, evaluation systems, and production pipelines.
- Deploy models into customer and internal workflows, and monitor quality, drift, latency, and business impact.
- Work with operators and domain experts to understand constraints, improve data quality, and create safeguards and explainable model behavior.
What they ask for
- Strong applied machine learning, statistics, and software engineering skills.
- Comfort working in Python and SQL.
- Able to turn operational problems into measurable learning problems and evaluate models rigorously.
- Comfortable deploying and maintaining models in production.
Nice to have
- Experience with operations research, geometric optimization, forecasting, or pricing.
- Experience with industrial, logistics, or marketplace data; human-in-the-loop systems; or responsible production use of modern AI models.
Pay
$151.5K – $167.5K (base salary)
Tools
Python, SQL
AI focus
Apply machine learning and optimization to operational decisions; responsibly use modern AI models in production.
Model-written summary · the original posting is authoritative