1

Temporary Machine Learning Software Engineer Jobs in Boston, MA

WHOOP is a company focused on health and fitness technology, and they are seeking a Software Engineer specializing in Machine Learning. The role involves designing, developing, and deploying machine ...

Software Engineer, Machine Learning

Boston, MA · On-site +1

$150K - $215K/yr

... Software Engineering or related technical field (or foreign degree equivalent) and 5 years of experience developing and delivering machine learning models and algorithms into production. Will also ...

... Software Engineering or related technical field (or foreign degree equivalent) and 5 years of experience developing and delivering machine learning models and algorithms into production. Will also ...

... Software Engineering or related technical field (or foreign degree equivalent) and 5 years of experience developing and delivering machine learning models and algorithms into production. Will also ...

Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied ... Collaborate with software, product, and application engineering teams to integrate ML solutions ...

Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied ... Collaborate with software, product, and application engineering teams to integrate ML solutions ...

Machine Learning Engineer

Dorchester, MA · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... You'll collaborate with leading researchers, hardware experts, and software engineers to build ...

Work with data scientists, application developers, product managers and software engineers to develop and support software for new machine learning products. What you'll need: * Minimum Requirements:

Work with data scientists, application developers, product managers and software engineers to develop and support software for new machine learning products. What you'll need: * Minimum Requirements:

next page

Showing results 1-20

Temporary Machine Learning Software Engineer information

See Boston, MA salary details

$26.1K

$113.9K

$205.3K

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

As of Jun 17, 2026, the average yearly pay for temporary machine learning software engineer in Boston, MA is $113,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $130,400.00 per year, depending on experience, location, and employer.

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

AspectTemporary Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; coding skillsBachelor's or Master's in CS, Statistics, or related fields; analytical skills
Work EnvironmentSoftware development teams, project-based rolesData analysis teams, research-focused roles
Employer & Industry UsageTech companies, startups, consulting firmsFinance, healthcare, tech, research institutions
Search & Comparison IntentOften compared for technical roles involving ML implementationCompared for data analysis and modeling expertise

The main difference is that a Temporary Machine Learning Software Engineer focuses on developing and deploying ML models within software projects, while a Data Scientist emphasizes data analysis, statistical modeling, and deriving insights from data. Both roles require strong technical skills, but their focus areas and typical tasks differ.

What cities near Boston, MA are hiring for Temporary Machine Learning Software Engineer jobs? Cities near Boston, MA with the most Temporary Machine Learning Software Engineer job openings:
Software Engineer, Machine Learning

Software Engineer, Machine Learning

WHOOP

Boston, MA • On-site

Full-time

Posted 6 days ago


Job description

Job Summary:
WHOOP is a company focused on health and fitness technology, and they are seeking a Software Engineer specializing in Machine Learning. The role involves designing, developing, and deploying machine learning models and tools to enhance member insights and lifestyle improvements.
Responsibilities:
• Design, develop, and deploy WHOOP’s core technology by implementing machine learning and artificial intelligence models into production systems to generate insights and recommendations for member behavior and lifestyle improvement.
• Build and design tools, models, algorithms, and infrastructure to support Data Scientists in developing, deploying, and monitoring machine learning models.
• Develop and maintain WHOOP’s full-stack internal toolset, including VueJS, Java, and Postgres.
• Collaborate with Data Science team members to support model development, training, and monitoring activities.
• Develop and maintain production-ready Python services, ensuring testability, reliability, and scalability, and implement best practices around testing, observability, and monitoring.
• Refactor production codebase to improve performance, reduce complexity, and enhance maintainability.
• Participate in the design, planning, and development of new software features for WHOOP’s platform.
• Deliver software features through iterative development and code review processes (e.g., pull requests).
• Perform troubleshooting and debugging using logging and monitoring tools such as DataDog, Sentry, and Kibana.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Science, Software Engineering or related technical field (or foreign degree equivalent) and 5 years of experience developing and delivering machine learning models and algorithms into production.
• Will also accept a Master’s degree in Computer Science, Data Science, Software Engineering or related technical field (or foreign degree equivalent) and 2 years of experience developing and delivering machine learning models and algorithms into production.
• At least 2 years of experience with front end development using modern frameworks (Vue or React).
• At least 2 years of experience with API design and development using Java, C++, and Python.
• At least 2 years of experience using SQL for relational database design and development.
• At least 2 years of troubleshooting experience utilizing AWS Cloudwatch, DataDog, Sentry or Kibana.
• At least 2 years of experience using a cloud computing platform such as AWS, Azure, or GCP.
• At least 2 years of experience developing, testing, and deploying production Python code.
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Whoop logo

About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012