Senior AI/ML Engineer

🔥 3 minutes ago

🎰 Nevada – Remote

🎰 Nevada – Remote

💵 $141.8k - $212.7k / year

⏰ Full Time

🟠 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 prompts for reliability and contribute to agentic workflows • Build data pipelines, labeling workflows, and evaluation frameworks • Apply AI to manufacturing and supply chain operations, including 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 measurable AI systems • Write code, run experiments, and ship production systems • Work directly with stakeholders to build products without needing a product manager • Report to the Distinguished Engineer of Generative AI

🎯 Requirements

• BS required • PhD in a relevant field is a strong foundation for early-career candidates • Candidates without a PhD should bring 3+ years of professional or research experience working directly on ML systems • 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, Gemini, or similar • 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 • Background or genuine interest in Mechanical Engineering, Electrical Engineering, Robotics, Industrial Engineering, or a related physical discipline is valued • Exposure to computer vision, sensor data, or real-time systems is valued • Familiarity with supply chain, logistics, or operations research problems is valued • Experience with simulation environments or physical hardware in a research or lab setting is valued • MS or PhD in a related field preferred • Ability to collaborate across disciplines and explain technical decisions to non-technical stakeholders

🏖️ Benefits

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