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Slate Auto
Slate Auto
201 – 500 Employees
H1B Visa SponsorAutomotiveManufacturingTransport
Slate Auto is an automotive manufacturer developing a simple, customizable electric vehicle designed to serve as either a pickup truck or a fastback SUV. The company sells directly to consumers through its online Slate Maker configurator and reservation model, while an accessories marketplace enables owners to personalize and upgrade their vehicles. Its approach combines practical design, affordability, integrated charging options, and partnerships with third-party service and charging networks to support straightforward electric vehicle ownership.
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AI/ML Engineer - Slate Auto (Remote, Michigan)

Build production generative AI, computer vision, and data systems for Slate Auto’s customizable vehicles. Apply machine learning across manufacturing, supply chain, and physical operations.

USUnited StatesMIMichigan
$123,339 – $185,009 / year
RemoteFull-timeMiddleSeniorEnglish RequiredMachine Learning Engineer
AWSAzureGoogle Cloud PlatformPandasPythonPyTorchScikit-Learn

Description

  • Develop and deliver machine learning features spanning data preparation, model training or fine-tuning, evaluation, deployment, and monitoring.
  • Take ownership of AI/ML capabilities from development through production, improving them with operational feedback.
  • Create retrieval-augmented generation pipelines using commercial LLM APIs and open-source models.
  • Develop reliable prompting approaches and support agent-based workflows.
  • Create data pipelines, annotation processes, and model evaluation frameworks.
  • Use AI to address challenges in manufacturing, supply chain, and physical operations.
  • Develop computer vision and machine learning solutions for inspection, predictive maintenance, sensor data, demand forecasting, inventory planning, supplier risk, and logistics.
  • Partner with Vehicle Engineering, Manufacturing, and Operations to turn business requirements into AI systems with measurable results.
  • Report to the Distinguished Engineer of Generative AI.

Requirements

  • PhD in a relevant field with equivalent demonstrated depth through project work, research, or professional experience for early-career candidates, or at least 3 years of professional or research experience working directly on ML systems without a PhD.
  • Bachelor’s degree required.
  • Understanding of core machine learning concepts, including model training, loss functions, evaluation metrics, overfitting, and regularization.
  • Practical experience with supervised learning, natural language processing, computer vision, and time-series modeling.
  • Familiarity with LLM APIs such as OpenAI, Anthropic, or Gemini.
  • Basic exposure to retrieval-augmented generation, embeddings, or retrieval systems.
  • Ability to assess model quality rigorously.
  • Proficiency in Python and experience with PyTorch or JAX, Hugging Face, pandas, and scikit-learn.
  • Ability to write production-quality software.
  • Familiarity with AWS, Google Cloud Platform, or Azure.
  • Experience with version control, experiment tracking, and foundational MLOps practices.
  • Evidence of completing an end-to-end project, thesis, or production system.
  • Ability to explain technical decisions to non-technical stakeholders and work directly with stakeholders.
  • Master’s or PhD in a related field preferred.
  • Background or genuine interest in mechanical engineering, electrical engineering, robotics, industrial engineering, or a related physical discipline preferred.
  • Exposure to computer vision, sensor data, or real-time systems preferred.
  • Familiarity with supply chain, logistics, or operations research problems preferred.
  • Experience with simulation environments or physical hardware preferred.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Vacation
  • 401(k)
  • Eligibility for the equity program
  • Eligibility for a discretionary annual incentive program

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