[Hiring] Lead AI/ML Engineer @Slate Auto

Role Description

Slate Automotive is building an AI-native vehicle platform from the ground up. This role is for an engineer ready to work on real AI/ML problems in production:

• Build and ship AI/ML features.
• Work across the model lifecycle: data preparation, training or fine-tuning, evaluation, deployment, and monitoring. Own features end-to-end and iterate based on real production feedback.
• Contribute to GenAI systems.
• Build RAG pipelines, work with LLM APIs and open-source models, design prompts for reliability, and contribute to agentic workflows. You will work on the full GenAI stack hands-on.
• Build data and evaluation infrastructure.
• Write data pipelines, labeling workflows, and evaluation frameworks. Reliable evals are a first-class deliverable on this team.
• Work on manufacturing, supply chain, and physical operations problems.
• Collaborate across the organization.

Qualifications

• Technically grounded in ML.
• Interested in physical and operational AI.
• A fast learner.
• Hands-on.
• Collaborative and clear.

Requirements

• A PhD in a relevant field is a strong foundation for someone early in their career and is treated as such. Candidates without a PhD should bring 5+ 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 (OpenAI, Anthropic, Gemini, or similar) and how to build reliably on top of them.
• Basic exposure to RAG, embeddings, or retrieval systems — including in a project or research context.
• Ability to evaluate model quality rigorously, not just report accuracy on a held-out set.
• Python proficiency: comfortable with the ML stack (PyTorch or JAX, Hugging Face, pandas, scikit-learn).
• Ability to write production-quality code, not just notebook code.
• Familiarity with cloud platforms (AWS, GCP, or Azure) at a working level.
• Version control, experiment tracking, and basic MLOps practices.

Benefits

• Medical, dental, vision, life insurance, disability insurance.
• Vacation and 401k.
• Eligibility to participate in the equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.

Company Description

Slate is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Slate is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures.