AI/ML Engineer

TalentHop; United States; On-site; USD 123,000 - 185,000; Full time

Job summary

TalentHop is seeking an AI/ML Engineer to develop and deploy AI/ML features for vehicle manufacturing and supply chain efficiency in the United States. The role owns AI model lifecycles and collaborates across Vehicle Engineering, Manufacturing, and Operations to drive measurable improvements.

Responsibilities include building end-to-end AI/ML systems, leveraging generative AI, and applying AI to manufacturing challenges such as predictive maintenance and demand forecasting.

Qualifications

• PhD or 3+ years in ML systems.
• Strong foundation in ML concepts (training, eval, reg).
• Experience with supervised learning, NLP, CV, time-series.

Responsibilities

• Build and deploy AI/ML features end-to-end across data prep, training, evaluation, deployment, monitoring.
• Develop generative AI systems using retrieval-augmented generation and LLMs.
• Create data pipelines, labeling workflows, and evaluation frameworks.

Skills

ML concepts

Supervised learning

NLP

Computer Vision

Time-series modeling

Production-grade code

Cloud platforms

Education

Bachelor's degree

Advanced degrees preferred

Tools

PyTorch

JAX

LLM APIs

Job description

This organization operates in the automotive industry, focusing on designing and manufacturing safe, reliable, and customizable vehicles in the USA. It addresses the challenge of providing affordable vehicles that customers can personalize, emphasizing control over vehicle aesthetics and functionality. The company is building an AI-native vehicle platform to integrate advanced AI and machine learning technologies into manufacturing and supply chain operations, positioning itself at the intersection of automotive production and AI innovation.

About the Opportunity:

The AI/ML ENGINEER role involves developing and deploying AI and machine learning features that directly impact vehicle manufacturing and supply chain efficiency. This position requires ownership of AI model lifecycles and collaboration across multiple departments to create measurable improvements. The engineer contributes to generative AI systems and applies AI solutions to physical and operational challenges, enabling the organization to leverage AI in real production environments.

Responsibilities:

• Build and deploy AI/ML features end-to-end, including data preparation, training, evaluation, deployment, and monitoring.
• Develop generative AI systems using retrieval-augmented generation, large language models, and prompt engineering.
• Create data pipelines, labeling workflows, and evaluation frameworks to support AI development.
• Address manufacturing and supply chain problems using AI techniques such as computer vision, predictive maintenance, demand forecasting, and inventory planning.
• Collaborate with Vehicle Engineering, Manufacturing, and Operations teams to translate requirements into AI solutions.

Requirements:

• PhD in a relevant field or at least 3 years of professional or research experience in machine learning systems.
• Strong foundational knowledge of machine learning concepts including model training, evaluation, and regularization.
• Practical experience with supervised learning, NLP, computer vision, and time-series modeling.
• Familiarity with LLM APIs and building reliable generative AI applications.
• Proficiency in Python and ML frameworks such as PyTorch or JAX.
• Experience writing production-quality code and working with cloud platforms.
• Preferred background or interest in manufacturing, robotics, supply chain, or physical AI systems.
• Bachelor’s degree required; advanced degrees in computer science, engineering, or related fields preferred.

Pay Range and Compensation Package:

• 123,339.00 - 154,174.00 - 185,009.00 USD

Equal Opportunity Statement:

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.