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

• 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.

• 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

• Competitive compensation package
• Full health insurance benefits are available on day one
• Life and disability insurance
• Earn up to 15 days 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

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.