Lead AI/ML Engineer

Location: Remote; the company operates in the USA

Base pay range: $156,560–$260,933 USD annually

Company

hirify.global is building safe, customizable, affordable 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, and rigorous model evaluation frameworks.
• 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, and Operations to translate requirements into measurable AI systems.

Requirements

• Strong foundation in machine learning, including training, loss functions, evaluation metrics, overfitting, and regularization.
• Practical experience with supervised learning, NLP, computer vision, and time-series modeling.
• Experience with Python and ML tools such as 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.
• BS degree in a relevant field required. A PhD is a strong foundation for early-career candidates; candidates without one should bring 5+ years of professional or research experience working directly on ML systems.
• Ability to collaborate across disciplines, explain technical decisions clearly, and work directly with stakeholders.

Nice to have

• Background in mechanical, electrical, robotics, industrial engineering, or another physical discipline.
• Exposure to sensor data, real-time systems, simulation environments, or physical hardware.
• Familiarity with supply chain, logistics, or operations research.
• MS or PhD in computer science, machine learning, robotics, engineering, or a related field.

Culture & Benefits

• Startup environment focused on ingenuity, resourcefulness, innovation, and continuous improvement.
• Culture built around safety, customer focus, collaboration, respect, and attention to detail.
• Medical, dental, vision, life, and disability insurance.
• Vacation and 401(k) benefits.
• Potential eligibility for equity and a discretionary annual incentive program.