
201 - 500 employees
đ Automotive
đ Manufacturing
đ Transport
Automotive âą Manufacturing âą 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 thirdâparty service and charging network partnerships.
đ„ 16 minutes ago
đ Michigan â Remote
đ” $123.3k - $185k / year
â° Full Time
đĄ Mid-level
đ Senior
đ€ Machine Learning Engineer
đŠ H1B Visa Sponsor
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201 - 500 employees
đ Automotive
đ Manufacturing
đ Transport
Automotive âą Manufacturing âą 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 thirdâparty service and charging network partnerships.
âą Build and ship AI/ML features across data preparation, training or fine-tuning, evaluation, deployment, and monitoring âą Own AI/ML features end-to-end and iterate based on production feedback âą Build RAG pipelines and work with LLM APIs and open-source models âą Design prompts for reliability and contribute to agentic workflows âą Build data pipelines, labeling workflows, and evaluation frameworks âą Apply AI to manufacturing, supply chain, and physical operations problems âą Work on computer vision for quality inspection, predictive maintenance, sensor data, demand forecasting, inventory planning, supplier risk, and logistics âą Collaborate with Vehicle Engineering, Manufacturing, and Operations to translate requirements into AI systems producing measurable output âą Report to the Distinguished Engineer of Generative AI
âą 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 âą BS required âą Foundational understanding of ML: model training, loss functions, evaluation metrics, overfitting, and regularization âą Practical experience with supervised learning, NLP, computer vision, and time-series modeling âą Familiarity with LLM APIs such as OpenAI, Anthropic, or Gemini âą Basic exposure to RAG, embeddings, or retrieval systems âą Ability to evaluate model quality rigorously âą Python proficiency with PyTorch or JAX, Hugging Face, pandas, and scikit-learn âą Ability to write production-quality code âą Familiarity with AWS, GCP, or Azure âą Version control, experiment tracking, and basic MLOps practices âą Demonstrated ability to build an end-to-end project, thesis, or production system âą Ability to explain technical decisions to non-technical stakeholders and work directly with stakeholders âą MS or PhD in a related field preferred âą Background or genuine interest in Mechanical Engineering, Electrical Engineering, Robotics, Industrial Engineering, or a related physical discipline preferred âą Exposure to computer vision, sensor data, or real-time systems preferred âą Familiarity with supply chain, logistics, or operations research problems preferred âą Experience with simulation environments or physical hardware preferred
âą Medical insurance âą Dental insurance âą Vision insurance âą Life insurance âą Disability insurance âą Vacation âą 401k âą Equity program eligibility âą Discretionary annual incentive program eligibility
Apply Nowđ„ 41 minutes ago
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