AI/ML Engineer (Automotive)

Location: Remote WA, United States

Salary: $123,339–$185,009 annual base

Company

hirify.global is building affordable, customizable vehicles in the USA, with a focus on reindustrialization and an AI-native vehicle platform.

What you will do

• Build, train or fine-tune, evaluate, deploy, and monitor production AI/ML features.
• Develop GenAI systems using RAG pipelines, LLM APIs, open-source models, prompt design, and agentic workflows.
• Create data pipelines, labeling workflows, and rigorous model evaluation infrastructure.
• Apply AI to manufacturing and physical operations, including computer vision for quality inspection, predictive maintenance, and sensor data.
• Address supply chain problems such as demand forecasting, inventory planning, supplier risk, and logistics.
• Collaborate with Vehicle Engineering, Manufacturing, Operations, and other stakeholders to build measurable AI solutions.

Requirements

• BS in Computer Science, Machine Learning, Robotics, Engineering, or a related field.
• PhD in a relevant field is a strong foundation for early-career candidates; candidates without a PhD need 3+ years of professional or research experience working directly on ML systems.
• Understanding of model training, loss functions, evaluation metrics, overfitting, and regularization, with practical experience in supervised learning, NLP, computer vision, and time-series modeling.
• Experience with LLM APIs and basic exposure to RAG, embeddings, or retrieval systems.
• Python proficiency with PyTorch or JAX, Hugging Face, pandas, and scikit-learn, plus production-quality software engineering practices.
• Working familiarity with AWS, GCP, or Azure, version control, experiment tracking, and basic MLOps.

Nice to have

• Background or interest in mechanical, electrical, robotics, industrial engineering, or another physical discipline.
• Experience with sensor data, real-time systems, simulation environments, or physical hardware.
• Familiarity with supply chain, logistics, or operations research.
• MS or PhD in a relevant technical field.

Culture & Benefits

• Culture focused on safety, customer value, innovation, continuous improvement, and respectful collaboration.
• Medical, dental, vision, life, and disability insurance.
• Vacation and 401(k).
• Potential eligibility for equity and a discretionary annual incentive program.
• Equal employment opportunity and reasonable accommodation for qualified individuals with disabilities.