AI/ML Engineer

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

Job summary

TalentHop is building an AI-native vehicle platform in the USA, seeking an AI/ML Engineer to own AI model lifecycles, collaborate across departments, and deliver measurable improvements in manufacturing and supply chain operations.

You will develop generative AI systems, apply NLP and computer vision to real-world manufacturing challenges, and deploy models in production with a focus on reliability and scalability.

Qualifications

• PhD or 3+ years of professional or research ML experience required.
• Strong foundations in model training, evaluation, and regularization.

Responsibilities

• Build and deploy AI/ML features end-to-end in production environments.
• Develop generative AI systems using LLMs and retrieval-augmented generation.
• Create data pipelines, labeling workflows, and evaluation frameworks for AI projects.
• Address manufacturing and supply chain problems with AI techniques (vision, predictive maintenance, forecasting).
• Collaborate with Vehicle Engineering, Manufacturing and Operations to translate requirements into AI solutions.

Skills

ML fundamentals

NLP

Computer vision

Time-series modeling

Production-grade coding

Cloud platforms

LLM APIs

Python

Manufacturing background

Education

Bachelor’s degree in CS/Engineering

Advanced degree preferred (PhD/MS)

Tools

PyTorch

JAX

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.