AI/ML Engineer

About the role

On-site AI/ML engineering role for an AI-native vehicle/manufacturing platform. Work spans production ML/GenAI, RAG, data/evaluation infrastructure, computer vision, predictive maintenance and supply-chain analytics. PhD is valued; otherwise asks for 3+ years working directly on ML systems. Sponsorship is not stated.

Requirements

• BS required; MS/PhD preferred, with PhD a strong signal for early-career candidates
• ML training/evaluation fundamentals and supervised learning, NLP, computer vision and time-series experience
• Python and ML frameworks such as PyTorch/JAX, Hugging Face, pandas and scikit-learn
• Production-quality code, cloud familiarity, version control, experiment tracking and basic MLOps
• Without PhD: 3+ years working directly on ML systems
• Hands-on end-to-end project/research experience and cross-functional communication

What you'll do

• Build and ship ML/GenAI features through training, evaluation, deployment and monitoring
• Build RAG pipelines, LLM workflows and agentic systems
• Create data pipelines, labeling and evaluation infrastructure
• Apply AI to manufacturing, sensor/vision quality, predictive maintenance and supply-chain operations
• Work with vehicle engineering, manufacturing and operations teams

Where this was posted

• LinkedIn

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