AI/ML Engineer (Automotive)

Location: Remote

Salary: $123,339–$185,009 annual base

Company

hirify.global is building affordable, customizable electric vehicles and an AI-native vehicle platform in the USA.

What you will do

• Build and ship AI/ML features across data preparation, training or fine-tuning, evaluation, deployment, and monitoring.
• Develop GenAI systems using RAG pipelines, LLM APIs, open-source models, prompt design, and agentic workflows.
• Create data pipelines, labeling workflows, evaluation frameworks, and reliable model-quality measurement.
• Apply AI to manufacturing and physical operations, including computer vision for quality inspection, predictive maintenance, and sensor data.
• Apply AI to supply chain problems such as demand forecasting, inventory planning, supplier risk, and logistics.
• Collaborate with Vehicle Engineering, Manufacturing, and Operations to turn requirements into measurable AI systems.

Requirements

• BS required in Computer Science, Machine Learning, Robotics, Electrical Engineering, Mechanical Engineering, Industrial 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, regularization, supervised learning, NLP, computer vision, and time-series modeling.
• Practical experience with LLM APIs, RAG, embeddings or retrieval systems, and rigorous model evaluation.
• Python proficiency with PyTorch or JAX, Hugging Face, pandas, and scikit-learn, plus production-quality software engineering.
• Working knowledge of AWS, GCP, or Azure, version control, experiment tracking, and basic MLOps practices.

Nice to have

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

Culture & Benefits

• Startup environment focused on ingenuity, resourcefulness, innovation, and continuous improvement.
• Culture built around safety, customer focus, collaboration, and respectful teamwork.
• Medical, dental, vision, life, and disability insurance.
• Vacation and 401(k) benefits.
• Potential equity participation and discretionary annual incentive compensation.