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Machine Learning Engineer

Los AngelesFull-time2026-10-11 → 2026-10-13
On-site

Core

Build production ML systems to accelerate quoting, material selection, planning, and factory decisions for aerospace and defense manufacturers.

Role type

Applied Machine Learning Engineer

Builds

Production ML pipelines and decision-support systems for supply chain operations

Domain

Manufacturing / Supply Chain / Aerospace & Defense

Deliverable

production ML models

Required skills

Applied machine learning, statistics, software engineering, Python, SQL, data pipeline construction, model evaluation, model deployment, drift monitoring, explainability

Preferred skills

Operations research, geometric optimization, forecasting, industrial data experience, human-in-the-loop systems, responsible AI

Technologies

Python, SQL

Responsibilities

Identify high-value ML opportunities, build datasets and evaluation systems, establish baselines, deploy models into workflows, monitor model quality and business impact, design fallbacks for uncertain predictions, improve data quality and explainability

Seniority

Mid-level, hands-on IC