Manager, Data Science (GenAI Solutions & ML Engineering)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$131K-$164K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

32% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Manager, Data Science (GenAI Solutions & ML Engineering) Country US What you'll need to succeed as a Manager, Data Science & AI at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 5+ years of experience in Machine Learning Engineering, Applied AI, or MLOps , including hands-on development of ML and Generative AI solutions 3+ years of experience leading and developing high-performing technical teams Strong technical foundation in end-to-end AI systems, such as: Designing and implementing scalable MLOps pipelines (training, CI/CD, deployment, monitoring, governance) Building production-grade ML inference services and APIs (batch and real-time) Developing and deploying Generative AI solutions , including LLM-powered applications and RAG pipelines Supporting Computer Vision or multimodal models in production environments Proficiency in Python and modern ML frameworks (e.g., PyTorch), with demonstrated experience taking AI solutions from prototype to enterprise-scale deployment Experience integrating AI systems with enterprise applications and data platforms Strong communication skills with the ability to influence engineering, product, and business stakeholders Preferred qualifications: Master's degree or PhD in Computer Science, Engineering, Data Science, or related field Experience building and scaling enterprise AI platforms providing best practices and/or acting as a Center of Excellence Hands-on experience with: LLM application development, prompt engineering, evaluation frameworks, and guardrai

Read the full description at jobs.xpo.com. FewerJobs shows a preview and links to the original posting.