Job description

Accelerate your career at RXO RXO is a leading provider of transportation solutions. With cutting-edge technology at the center, we re revolutionizing the industry with our massive network and commitment to finding solutions for every challenge. We create more efficient ways for shippers and carriers to transport goods across North America. As a Forward Deployed Engineer at RXO you will partner directly with one of our largest automotive customers. In this role, you’ll embed within customer operations to identify inefficiencies and design AI-driven solutions that improve performance, visibility, and decision-making in real time. This is a highly visible, customer-facing role that blends engineering, operations, and strategy — ideal for someone who enjoys solving real-world problems and seeing their work deployed in live environments. Please note this role will sit on site at our Southfield, MI location What your day-to-day will look like: Partner with customer stakeholders on-site to understand operational challenges and identify opportunities for AI-driven solutions Design, build, and deploy machine learning models to improve forecasting, routing, and supply chain performance Develop automation tools to reduce manual workflows and increase operational efficiency Translate complex data into clear, actionable insights for both technical and non-technical audiences Integrate AI solutions into existing systems such as TMS, WMS, and ERP platforms using APIs and modern cloud tools Monitor performance of deployed solutions and continuously iterate to drive measurable improvements Act as a bridge between RXO’s technology, product, and operations teams to deliver scalable solutions Navigate high-stakes environments where system uptime impacts production lines Drive adoption at the floor level and navigate ambiguity with confidence Identify inefficiencies and independently prototype solutions At a minimum, you’ll need: Bachelor’s degree in Computer Science, Data Science, Engineering, Operations Research, or a related quantitative field 3 years of experience in data science, AI/ML, or advanced analytics Strong command of statistics and optimization techniques to drive operational improvement Advanced proficiency in Python, SQL, PowerBI/Tableau, and CPLEX, with hands-on experience in ML, Agentic AI, and GenAI platforms and frameworks (GCP tech stack preferred) Proven track record of deploying predictive AI models and optimization algorithms to solve business problems Experience designing and implementing automated workflows and AI-driven solutions to optimize business processes Proficiency in TMS (Oracle OTM preferred), WMS/YMS, and ERP workflows, with experience integrating modern AI via APIs into legacy systems Ability to communicate complex technical concepts clearly to non-technical stakeholders Be independent, own your work and think, act and build fast It’d be great if you also have: 5 years of relevant experience Advanced degree (MS or PhD) in Computer Science, Data Science, Engineering, Operations Research, or a related quantitative field Experience in supply chain, logistics, or transportation operations Background in a customer-facing or consulting role Proven track record of delivering AI-driven solutions that drive measurable business impact Proven track record of monetize analytical insights by transitioning AI solutions from R&D to product design and delivery Measurable financial impact on operational performance through stakeholder engagement and independent execution Does this sound like you? Check out what else RXO has to offer. Why Join Us: Our Benefits Comprehensive medical, dental, and vision plans 401(k) retirement plan with up to 5% company match Pre-tax accounts to help streamline eligible expenses Company-paid disability and life insurance Employee Assistance Program (EAP) Career and Leadership Development Programs Paid time off, company holidays, and volunteer days Our Culture Our values are the key to our unique culture and our ability to deliver for everyone we serve. We do great things when we are inclusive and work together. To perform with excellence, we learn from one another, value diverse perspectives, operate safely and build strong relationships. The Next Step Ready to join our team? We d love to hear from you. Fill out an application now and join our talent community to learn about future opportunities. We are proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties, and skills for this job classification. Review RXO s candidate privacy statement here and RXO s Privacy Notice to California Job Applicants here .

Requirements

Must-haves

Accelerate your career at RXO
This is a highly visible, customer-facing role that blends engineering, operations, and strategy — ideal for someone who enjoys solving real-world problems and seeing their work deployed in live environments.
Please note this role will sit on site at our Southfield, MI location
Partner with customer stakeholders on-site to understand operational challenges and identify opportunities for AI-driven solutions
Design, build, and deploy machine learning models to improve forecasting, routing, and supply chain performance
Develop automation tools to reduce manual workflows and increase operational efficiency
Translate complex data into clear, actionable insights for both technical and non-technical audiences
Integrate AI solutions into existing systems such as TMS, WMS, and ERP platforms using APIs and modern cloud tools
Monitor performance of deployed solutions and continuously iterate to drive measurable improvements
Act as a bridge between RXO’s technology, product, and operations teams to deliver scalable solutions
Navigate high-stakes environments where system uptime impacts production lines
Drive adoption at the floor level and navigate ambiguity with confidence
Identify inefficiencies and independently prototype solutions
Bachelor’s degree in Computer Science, Data Science, Engineering, Operations Research, or a related quantitative field
3 years of experience in data science, AI/ML, or advanced analytics
Strong command of statistics and optimization techniques to drive operational improvement
Proven track record of deploying predictive AI models and optimization algorithms to solve business problems
Experience designing and implementing automated workflows and AI-driven solutions to optimize business processes
Ability to communicate complex technical concepts clearly to non-technical stakeholders
Be independent, own your work and think, act and build fast
5 years of relevant experience
Advanced degree (MS or PhD) in Computer Science, Data Science, Engineering, Operations Research, or a related quantitative field

Nice-to-haves

Advanced proficiency in Python, SQL, PowerBI/Tableau, and CPLEX, with hands-on experience in ML, Agentic AI, and GenAI platforms and frameworks (GCP tech stack preferred)
Proficiency in TMS (Oracle OTM preferred), WMS/YMS, and ERP workflows, with experience integrating modern AI via APIs into legacy systems

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythonsqlgcp

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off