AI/ML Engineer

🕒 September 23

🇺🇸 United States – Remote

💵 $123.3k - $185k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Slate Auto

WebsiteLinkedInAll Job Openings

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 features end-to-end and iterate based on production feedback • Build RAG pipelines and work with LLM APIs and open-source models • Design reliable prompts 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, and sensor data applications • Work on demand forecasting, inventory planning, supplier risk, and logistics problems • Collaborate with Vehicle Engineering, Manufacturing, and Operations • Translate organizational requirements into AI systems that produce measurable output • Report to the Distinguished Engineer of Generative AI

🎯 Requirements

• PhD in a relevant field is a strong foundation for early-career candidates, or 3+ years of professional or research experience working directly on ML systems for candidates without a PhD • Demonstrated ability to build an end-to-end project, thesis, or production system • 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 at a working level • Version control, experiment tracking, and basic MLOps practices • BS required • MS or PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering, Mechanical Engineering, Industrial Engineering, or a related field preferred • Ability to explain technical decisions to non-technical stakeholders • Willingness to directly interact with stakeholders • Background or genuine interest in Mechanical Engineering, Electrical Engineering, Robotics, Industrial Engineering, or a related physical discipline valued • Exposure to computer vision, sensor data, or real-time systems valued • Familiarity with supply chain, logistics, or operations research problems valued • Experience with simulation environments or physical hardware in a research or lab setting valued

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • Vacation • 401k • Equity program eligibility • Discretionary annual incentive program eligibility • Reasonable accommodation for qualified individuals with disabilities