AI/ML Engineer
Slate Magazine1 day ago
Remote, United States or Troy, MI, USAMid Level
Base Salary
$123k - $185k/yr
Responsibilities
- Build and ship AI/ML features across the model lifecycle, including data preparation, training or fine-tuning, evaluation, deployment, and monitoring.
- Build GenAI systems using RAG pipelines, LLM APIs, open-source models, prompt design, and agentic workflows.
- Develop data pipelines, labeling workflows, evaluation frameworks, and reliable model-quality evaluation infrastructure.
- Apply AI to manufacturing, supply chain, and physical operations, including quality inspection, predictive maintenance, demand forecasting, inventory planning, supplier risk, and logistics.
- Own features end-to-end, iterate using production feedback, and collaborate with Vehicle Engineering, Manufacturing, and Operations.
- Translate cross-functional requirements into AI systems that produce measurable operational output.
Requirements
- BS degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, Mechanical Engineering, Industrial Engineering, or a related field is required.
- A relevant PhD is a strong foundation for early-career candidates; candidates without a PhD must have 3+ years of professional or research experience working directly on ML systems.
- Demonstrated ability to build an end-to-end ML project, thesis, research system, or production system.
- Understanding of 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, RAG, embeddings, retrieval systems, and rigorous model-quality evaluation.
- Python proficiency and experience with PyTorch or JAX, Hugging Face, pandas, and scikit-learn.
- Ability to write production-quality code and familiarity with cloud platforms, version control, experiment tracking, and basic MLOps practices.
- Preferred background or interest in manufacturing, robotics, logistics, industrial data, physical systems, supply chain, operations research, simulation environments, or physical hardware.
- Strong collaboration, communication, learning, experimentation, and stakeholder-interaction skills.
Benefits
- Medical, dental, vision, life insurance, disability insurance, vacation, and 401k benefits.
- Potential eligibility for an equity program and/or discretionary annual incentive program, subject to applicable program rules.
Tech Stack
Categories
About Slate Magazine
Slate is a digital magazine that covers politics, culture, technology, and current events through reported articles, analysis, newsletters, and a large slate of podcasts. Founded in 1996, it is published by The Slate Group, a unit of Graham Holdings, with offices in New York and Washington, D.C. Its business model combines advertising with reader revenue, including the Slate Plus membership program for bonus content and ad-free podcasts.