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AI/ML Engineer

đŸ”„ 16 minutes ago

🚗 Michigan – Remote

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đŸ’” $123.3k - $185k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ€– Machine Learning Engineer

🩅 H1B Visa Sponsor

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đŸ‘» Ghost score 0%

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Logo of Slate Auto

Slate Auto

201 - 500 employees

🚘 Automotive

🏭 Manufacturing

🚗 Transport

Automotive ‱ Manufacturing ‱ Transport

Slate Auto is a manufacturer of a radically simple, highly customizable electric pickup that can be configured as a pickup or fastback SUV. The company sells directly to consumers with an online configurator called the Slate Maker, a reservation model, and an accessories marketplace for swaps and upgrades. Slate Auto emphasizes affordability, practical design, and easy ownership with integrated charging options and third‑party service and charging network partnerships.

📋 Description

‱ Build and ship AI/ML features across data preparation, training or fine-tuning, evaluation, deployment, and monitoring ‱ Own AI/ML features end-to-end and iterate based on production feedback ‱ Build RAG pipelines and work with LLM APIs and open-source models ‱ Design prompts for reliability and contribute to agentic workflows ‱ Build data pipelines, labeling workflows, and evaluation frameworks ‱ Apply AI to manufacturing, supply chain, and physical operations problems ‱ Work on computer vision for quality inspection, predictive maintenance, sensor data, demand forecasting, inventory planning, supplier risk, and logistics ‱ Collaborate with Vehicle Engineering, Manufacturing, and Operations to translate requirements into AI systems producing measurable output ‱ Report to the Distinguished Engineer of Generative AI

🎯 Requirements

‱ PhD in a relevant field plus equivalent demonstrated depth through project work, research, or professional experience for early-career candidates, or 3+ years of professional or research experience working directly on ML systems without a PhD ‱ BS required ‱ Foundational understanding of ML: model training, loss functions, evaluation metrics, overfitting, and regularization ‱ Practical experience with supervised learning, NLP, computer vision, and time-series modeling ‱ Familiarity with LLM APIs such as OpenAI, Anthropic, or Gemini ‱ Basic exposure to RAG, embeddings, or retrieval systems ‱ Ability to evaluate model quality rigorously ‱ Python proficiency with PyTorch or JAX, Hugging Face, pandas, and scikit-learn ‱ Ability to write production-quality code ‱ Familiarity with AWS, GCP, or Azure ‱ Version control, experiment tracking, and basic MLOps practices ‱ Demonstrated ability to build an end-to-end project, thesis, or production system ‱ Ability to explain technical decisions to non-technical stakeholders and work directly with stakeholders ‱ MS 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

đŸ–ïž Benefits

‱ Medical insurance ‱ Dental insurance ‱ Vision insurance ‱ Life insurance ‱ Disability insurance ‱ Vacation ‱ 401k ‱ Equity program eligibility ‱ Discretionary annual incentive program eligibility

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