Technical Lead Manager (TLM), AI & Data Science - Hybrid

XPO Logistics, Inc.; Boston (MA); Hybrid; USD 155,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

PTO 15 days/yr

9 paid company holidays

401(k) match

Education assistance

Incentive plan

Job summary

XPO Logistics, Inc. seeks a Technical Lead Manager (TLM) for AI & Data Science to guide the design and delivery of production AI solutions in a hybrid work model from Boston. You will lead a team of scientists and engineers, set technical direction, and ensure robust decision-making across projects.

The role requires 5+ years in ML/AI, 2+ years of leadership, and strong Python/PyTorch skills. Expect collaboration with enterprise data platforms, stakeholder updates, and hands-on contributions

Qualifications

• Bachelor's degree or equivalent related work or military experience.
• 5 years of experience in Machine Learning Engineering, Applied AI, Data Science, or MLOps, including hands-on experience architecting and building production ML/AI systems
• 2+ years of experience leading or acting as technical lead for a focused technical team
• Demonstrated ability to review model designs and code, evaluate architecture and technical tradeoffs, and contribute code directly when needed
• Strong technical foundation in end-to-end AI systems, such as data requirements, scalable MLOps pipelines, production-grade ML inference services and APIs

Responsibilities

• Set the technical agenda for the team's AI/ML initiatives and prioritize work across scientists and engineers.
• Architect end-to-end AI/ML systems and review model designs, code, and technical approaches.
• Contribute code directly on high-priority components as needed.
• Run daily standups and provide weekly status updates to management.
• Manage stakeholder communication across business and technical audiences.
• Partner with dependent software teams to integrate and launch models into production.
• Conduct architecture and code reviews and performance tuning to ensure engineering standards.
• Mentor scientists and engineers on production-ready AI development and best practices.
• Stay at the forefront of AI/ML engineering, GenAI, and MLOps to guide technology decisions.

Skills

ML engineering

Leadership

Code review

Python

PyTorch

AI integration

Communication

Education

Bachelor's degree or equivalent

Master's degree or PhD (preferred)

Tools

Docker

Kubernetes

AWS/Azure/GCP

LLM tooling

Job description

Select how often (in days) to receive an alert: Create Alert

Technical Lead Manager (TLM), AI & Data Science - Hybrid

Requisition Id: 389201

Business Unit: Corporate

Location: Boston, MA, US, 02110

Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements.

What you’ll need to succeed as a Technical Lead Manager (TLM), AI & Data Science at XPO

• Bachelor's degree or equivalent related work or military experience
• 5 years of experience in Machine Learning Engineering, Applied AI, Data Science, or MLOps, including hands-on experience architecting and building production ML/AI systems
• 2+ years of experience leading or acting as technical lead for a focused technical team
• Demonstrated ability to review model designs and code, evaluate architecture and technical tradeoffs, and contribute code directly when needed
• Strong technical foundation in end-to-end AI systems, such as:
• Understanding data requirements (e.g. sources, volume, quality) for building AI/ML systems and products
• Designing and implementing scalable MLOps pipelines (training, evaluation, CI/CD, deployment, monitoring, governance)
• Building production-grade ML inference services and APIs (batch and real-time)
• Developing and deploying Multimodal Generative AI solutions, including LLM-powered applications, RAG pipelines, and Agents
• Proficiency in Python and modern ML frameworks (e.g., PyTorch)
• Experience integrating AI systems with enterprise applications and data platforms
• Strong communication skills, including experience running stakeholder updates, status reporting, and cross-team coordination

Preferred qualifications:

• Master's degree or PhD in Computer Science, Engineering, Data Science, or related field
• Experience setting technical direction for applied AI or optimization projects (e.g., network/route optimization, demand forecasting, GenAI applications)
• Hands-on experience with:
• LLM application development, prompt engineering, evaluation frameworks, guardrails, and post-training (e.g. fine-tuning, reinforcement learning)
• Vector databases and retrieval systems
• Model monitoring, drift detection, and AI governance practices
• Experience deploying AI solutions in cloud environments (AWS, Azure, GCP)
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience partnering with dependent software development teams to ship models into production
• Strong business acumen with experience driving measurable ROI from AI initiatives

About the Technical Lead Manager (TLM), AI & Data Science job

Pay, benefits and more:

• C ompetitive compensation package
• Full health insurance benefits are available on day one
• Life and disability insurance
• Earn up to 15days of PTO over your first year
• 9 paid company holidays
• 401(k) option with company match
• Education assistance
• Opportunity to participate in a company incentive plan

What you’ll do on a typical day:

• Set the technical agenda for the team's AI/ML initiatives, and prioritize and allocate work across scientists and engineers
• Architect end-to-end AI/ML systems and review model designs, code, and technical approaches across the team
• Contribute code directly on high-priority or high-risk components as needed
• Run daily standups and provide weekly status updates to management
• Manage stakeholder communication across business and technical audiences
• Partner with dependent software development teams to integrate and launch models into production
• Conduct architecture reviews, code reviews, and performance tuning to ensure high engineering standards
• Mentor scientists and engineers on production-ready AI development and best practices
• Stay at the forefront of advancements in AI/ML engineering, GenAI, and MLOps to guide technology decisions and adoption

Annual Salary Range: $155,000 to $180,000 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO.

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

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 XPO's candidate privacy statement here .