Senior AI/ML Engineer (AI)

Location: Remote, Nevada (NV)

Salary: USD 141,807–177,259–212,710 annually

Company

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

What you will do

• Build, deploy, evaluate, and monitor AI/ML features across the full model lifecycle.
• Develop GenAI systems using RAG pipelines, LLM APIs, open-source models, prompt design, and agentic workflows.
• Create data pipelines, labeling workflows, experiment infrastructure, and rigorous model evaluation frameworks.
• Apply AI to manufacturing and physical operations, including computer vision for quality inspection, predictive maintenance, and sensor data analysis.
• Develop solutions for supply chain and logistics problems such as demand forecasting, inventory planning, supplier risk, and logistics optimization.
• Collaborate with Vehicle Engineering, Manufacturing, Operations, and non-technical stakeholders to deliver measurable outcomes.

Requirements

• BS degree in Computer Science, Machine Learning, Robotics, Engineering, or a related field.
• PhD in a relevant field is a strong signal 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 Python and ML tools such as PyTorch or JAX, Hugging Face, pandas, and scikit-learn.
• Experience building production-quality code, using cloud platforms such as AWS, GCP, or Azure, and applying version control, experiment tracking, and basic MLOps practices.
• Hands-on ability to build and ship systems, learn quickly, and explain technical decisions to cross-functional stakeholders.

Nice to have

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

Culture & Benefits

• Startup environment focused on ingenuity, resourcefulness, innovation, and continuous improvement.
• Values include safety, customer focus, collaboration, respect, and operational discipline.
• Medical, dental, vision, life, and disability insurance.
• Vacation, 401(k), potential equity participation, and a discretionary annual incentive program.