10 дней назад
AI/ML Integration Technologist (Battery Mfg)
132 800 - 250 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Integration Technologist (Battery Mfg) (AI/ML and battery manufacturing): Building and scaling AI and machine learning solutions for battery manufacturing with an accent on process optimization, inline defect vision, yield analysis, and predictive maintenance. Focus on benchmarking production use cases, establishing reusable data and model standards, and guiding generative and agentic AI adoption across plants.
Location: Dearborn, Michigan, United States; hybrid with a requirement to be onsite four or more days per week
Base salary: $132,800–$250,800 per year
Company
Ford Energy, a wholly owned subsidiary, designs, manufactures, and services grid-scale and commercial battery energy storage systems while developing AI capabilities for battery manufacturing.
What you will do
- Own the AI roadmap for battery manufacturing, prioritizing pilots, scaled solutions, and retirements based on yield, quality, cost, and launch speed.
- Benchmark AI capabilities across Ford battery sites and external cell makers, suppliers, semiconductor companies, and coating specialists.
- Build proofs of concept and reference architectures for formation and aging optimization, inline coating and defect vision, yield genealogy, and predictive maintenance.
- Define data, labeling, and model standards that enable reuse across manufacturing plants.
- Evaluate vendors, guide embedded engineers, and align IT and OT teams on security and scalability.
- Apply generative and agentic AI, including copilots and workflow agents, to engineering and plant workflows where appropriate.
Requirements
- Bachelor’s degree in Electrical or Mechanical Engineering, or Computer Science.
- 10+ years of experience, including several years applying AI or ML to real production or process systems.
- Strong knowledge of manufacturing or process data, including multivariate and time-series data, SPC, design of experiments, and inline vision.
- Ability to work with process and controls engineers and lead technical ML direction.
- Legally authorized to work in the United States; employment eligibility verification is required.
- Visa sponsorship is not available.
Nice to have
- Master’s degree in AI, ML, data science, or computer science.
- Battery cell, semiconductor fabrication, or roll-to-roll coating experience.
- Cloud ML experience with GCP or Azure.
- Familiarity with LangGraph, ADK, AutoGen, or MCP for workflow automation.
Culture & Benefits
- Medical, dental, vision, and prescription drug coverage.
- Paid parental leave, family care days, backup childcare, and family-building benefits.
- Vehicle discounts and management lease programs.
- Tuition assistance, paid time off, paid holidays, and the option to purchase additional vacation time.
- Employee resource groups and paid time off for community service.
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