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Machine Learning Engineer Software Engineer Jobs in Peabody, MA

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 ...

Lead Machine Learning Engineer (IC)

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Machine Learning Engineer

Boston, MA · On-site

$140 - $210/hr

About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our integrated discovery team. In this role, you will be the algorithmic engine of our programs, developing and ...

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems; * Develop and deploy backend services and ...

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Solid grounding in software engineering fundamentals, data structures, and algorithms

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Solid grounding in software engineering fundamentals, data structures, and algorithms

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... Familiarity with Git and collaborative software development practices. Nice to Have: * CUDA kernel ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... Understanding of software development best practices, including coding standards, code reviews ...

Showing results 21-40

Machine Learning Engineer Software Engineer information

See Peabody, MA salary details

$70.5K

$163.8K

$228.1K

How much do machine learning engineer software engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning engineer software engineer in Peabody, MA is $163,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,200.00 and $192,000.00 per year, depending on experience, location, and employer.

How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What are popular job titles related to Machine Learning Engineer Software Engineer jobs in Peabody, MA?

For Machine Learning Engineer Software Engineer jobs in Peabody, MA, the most frequently searched job titles are:

What cities near Peabody, MA are hiring for Machine Learning Engineer Software Engineer jobs?

Cities near Peabody, MA with the most Machine Learning Engineer Software Engineer job openings:

Infographic showing various Machine Learning Engineer Software Engineer job openings in Peabody, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $163,751 per year, or $78.7 per hour.

Machine Learning Engineer - Hybrid

XPO Logistics

Boston, MA • On-site

$100K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Key responsibilities

  • 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


XPO rating

6.9

Company rating: 6.9 out of 10

Based on 226 frontline employees who took The Breakroom Quiz

233rd 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