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Machine Learning Engineering Lead Jobs in Massachusetts

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

Contribute to a collaborative, high‑performing engineering culture What You Will Do * Design, train, evaluate, and deploy machine learning models for production applications * Collaborate with ...

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

Contribute to a collaborative, high‑performing engineering culture What You Will Do * Design, train, evaluate, and deploy machine learning models for production applications * Collaborate with ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data. Key Responsibilities * Data ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data. Key Responsibilities * Data ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data. Key Responsibilities * Data ...

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines ... Collaborate with data scientists, underwriters, and engineering teams to translate business ...

Lead Engineer, MLOps

Boston, MA · On-site

$111K - $146K/yr

Bachelor's degree with 6+ years of Machine Learning Engineering experience, or Master's degree with ... Lead the platform foundation behind high-impact data science systems * Work on machine learning ...

Lead Engineer, MLOps

Boston, MA · On-site

$111K - $146K/yr

Bachelor's degree with 6+ years of Machine Learning Engineering experience, or Master's degree with ... Lead the platform foundation behind high-impact data science systems * Work on machine learning ...

Showing results 41-60

Machine Learning Engineering Lead information

See Massachusetts salary details

$44.1K

$145.6K

$219.6K

How much do machine learning engineering lead jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineering lead in Massachusetts is $145,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $167,700.00 per year, depending on experience, location, and employer.

What cities in Massachusetts are hiring for Machine Learning Engineering Lead jobs?

Cities in Massachusetts with the most Machine Learning Engineering Lead job openings:

Machine Learning Engineer - Hybrid

Boston, MA • On-site

XPO Logistics
Import-Export • 10K+ employees

$100K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago


XPO rating

6.9

Company rating: 6.9 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

232nd of 366 rated logistics


Job description

What you'll need to succeed as a Machine Learning Engineer at XPO
Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience
  • 1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling
  • Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines
  • Proficiency in Python and SQL
  • Experience with cloud data or ML platforms (e.g., AWS, GCP, BigQuery)
  • Strong collaboration skills, with experience partnering with data science/applied science teams and data engineering teams

Preferred qualifications:
  • Master's degree in Computer Science or related field
  • 3+ years of experience building ML infrastructure for training, evaluation, and deployment at scale
  • Experience building and maintaining CI/CD pipelines for machine learning models
  • Experience with model serving and inference infrastructure (batch and real-time)
  • Experience implementing model monitoring, drift detection, and feedback-loop tooling
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Experience partnering with data engineering teams on data pipeline reliability and access

About the Machine Learning Engineer job
Pay, benefits and more:
  • Competitive compensation package
  • Full health insurance benefits 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:
  • Build and maintain data preparation and validation tooling to ensure high-quality inputs for ML and optimization models
  • Design and implement ML infrastructure for model training, evaluation, and deployment
  • Build and maintain CI/CD pipelines for machine learning models, including automated testing and validation
  • Implement model monitoring, drift detection, and feedback loops to track model performance in production
  • Partner with applied and data scientists to productionize models and streamline the path from experimentation to deployment
  • Collaborate with data engineering teams to ensure reliable, accessible data pipelines
  • Contribute to shared MLOps tooling and best practices across the AI/ML organization

Annual Salary Range: $100,000 to $120,000 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.

What XPO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


XPO logo

About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US