Manager, Data Science (GenAI Solutions & ML Engineering)
Boston, Massachusetts, United States · On-site
$131k–$164k/yr
Senior$741M raised
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, Appli…
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Boston, Massachusetts, United States · Hybrid
Senior
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Domino's
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Boston, Massachusetts, United States · On-site
Entry level$1.3B raised
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$148k–$220k/yr
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Boston, Massachusetts, United States · On-site
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Domino's
Delivery Driver(03741) - 508 Park Dr
Boston, Massachusetts, United States · On-site
Entry level$1.3B raised
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Domino's
Delivery Driver(03724) - 1400 Tremont St.
Boston, Massachusetts, United States · On-site
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Domino's
Delivery Driver(03218) - 163 Old Colony Ave
Boston, Massachusetts, United States · On-site
Entry level$1.3B raised
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CDM Smith
Highway/Roadway Engineer 5
Boston, Massachusetts, United States · Hybrid
Senior
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CDM Smith
Transportation Engineer 4-Traffic
Boston, Massachusetts, United States · Hybrid
Senior
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Manager, Data Science (GenAI Solutions & ML Engineering)
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$131k–$164k/yr
Full-time
bachelor degree, postgraduate degree
Competitive Compensation Package, Full Health Insurance, Life Insurance, Disability Insurance, Paid Time Off, Paid Company Holidays
Posted 49d ago
Apply by Sep 25
~40 hrs/week
Responsibilities
Lead a team of ML engineers to build and scale production AI and Generative AI solutions for transportation challenges. Define the company's MLOps strategy and serve as a technical advisor to senior stakeholders to drive operational efficiency.
Requirements
Requires a Bachelor's degree with 5+ years of experience in ML Engineering/Applied AI and 3+ years of technical team leadership. Proficiency in Python, PyTorch, and the ability to deploy enterprise-scale AI systems is essential.
Full job description
What you’ll need to succeed as aManager, 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:
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 guardrails
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 working across globally distributed teams
Strong business acumen with experience driving measurable ROI from AI initiatives
About the Manager, Data Science & AI job
Pay, benefits and more:
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
What you’ll do on a typical day:
Lead a team of ML engineers focused on building, deploying, and scaling production AI and Generative AI solutions that solve complex transportation and operational challenges
Partner with Data Science teams to transition models from experimentation into robust, scalable, and monitored production systems
Design and implement Generative AI applications, including:
RAG-enabled knowledge assistants
Internal copilots for operations, sales, and customer service
Multimodal AI solutions leveraging structured data, documents, and images
Define and execute the company’s MLOps strategy, including:
Standardizing CI/CD for ML
Establishing model lifecycle management and governance
Implementing observability, performance monitoring, and drift detection
Build reusable AI services, APIs, and shared frameworks that accelerate delivery across US and India AI teams
Drive Computer Vision enablement by ensuring scalable training, inference, and monitoring pipelines
Serve as a trusted advisor to senior stakeholders, helping translate Generative AI and ML capabilities into operational efficiency, cost reduction, and revenue growth
Conduct architecture reviews, code reviews, and performance tuning to ensure high engineering standards
Mentor engineers and data scientists on production-ready AI development and best practices
Stay at the forefront of advancements in ML Engineering, GenAI, and MLOps to guide technology decisions and enterprise adoption
Annual Salary Range: $131,100 to $163,875 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.
XPO provides world-class transportation solutions to the most successful companies in the world. We have a high-energy team around the globe focused on being the best in the industry. Given the scope of our business, there are opportunities to do satisfying work in many different fields, and at all levels of experience. If you’re ready to move the world forward, we’d like to invest in you. (NYSE: XPO)
Offices: Five American Lane, Greenwich, CT 06831, US · 5425 Dixie Rd, Mississauga, ON L4W 1E6, CA · Chemin de Poupry, Dambron, Center 28140, FR · 1449 Oakland Rd NW, Lawrenceville, GA 30044, US · 4035 Piedmont Pkwy, High Point, NC 27265, US
How many Transportation jobs are open in Boston, MA right now?
There are currently 727 open transportation positions in Boston, MA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Transportation roles in Boston, MA?
Companies currently hiring include VPNE, Asbury Automotive Group, Domino's, MassDEP, Motional, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Transportation jobs in Boston, MA?
Yes — 140 of the 727 open transportation positions offer remote or hybrid work (33 remote, 107 hybrid).
How do I apply for Transportation jobs in Boston, MA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.