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Machine Learning Engineer From Home Jobs in Massachusetts

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... You will build software with AI/ML at its core, ranging from classical statistical methods to ...

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 ... Works in an office environment in Boston, MA * 3 days in office/2 days work from home * Requires ...

You will build software with AI/ML at its core, ranging from classical statistical methods to ... Our work is challenging, and we go home at night knowing that we pushed the envelope of technology ...

You will build software with AI/ML at its core, ranging from classical statistical methods to ... Our work is challenging, and we go home at night knowing that we pushed the envelope of technology ...

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

You will build software with AI/ML at its core, ranging from classical statistical methods to ... Our work is challenging, and we go home at night knowing that we pushed the envelope of technology ...

Lead with technical depth - Own the end-to-end lifecycle from requirements gathering through ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

Lead with technical depth - Own the end-to-end lifecycle from requirements gathering through ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

Machine Learning Engineer II

Cambridge, MA · On-site

$106K - $145K/yr

We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of ... This is a hands-on, full-lifecycle (from experimentation to productionization) ML role with a ...

Base pay range $130,000.00/yr - $215,000.00/yr Direct message the job poster from Alsym Energy Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI ...

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... From informing customers about unusual charges to answering their questions in real time, our ...

Showing results 41-60

Machine Learning Engineer From Home information

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

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

Can a machine learning engineer work from home?

Yes, many machine learning engineers can work from home, especially in roles that involve data analysis, model development, and coding using tools like Python and TensorFlow. Remote work is common in this field, provided the engineer has a reliable internet connection, access to necessary hardware, and effective communication skills.

What are the most commonly searched types of Machine Learning Engineer jobs in Massachusetts?

The most popular types of Machine Learning Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Machine Learning Engineer From Home jobs?

Cities in Massachusetts with the most Machine Learning Engineer From Home job openings:

Infographic showing various Machine Learning Engineer From Home job openings in Massachusetts as of August 2026, with employment types broken down into 2% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Machine Learning Engineer

STR

Woburn, MA • On-site

$115K - $140K/yr

Full-time

Re-posted 9 days ago


Job description

About the Team

STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe.

The Role

As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems.

Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will analyze interesting and challenging datasets to develop, implement, and evaluate AI/ML models to discover trends and form valuable intelligence insights. You will help bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback.

This position can be based in Woburn, MA; or Arlington, VA. Applicants should expect to primarily work onsite.

What you will do:

  • Investigate and analyze large and interesting data sets to identify and expose hidden patterns and trends
  • Develop and apply novel AI/ML models to automatically derive valuable insights for defense and intelligence analysts
  • Collaborate with diverse teams to develop and deploy cutting-edge capabilities into production systems
  • Support the engineering of robust backend services, scalable APIs, and intuitive user interfaces

Who you are:

  • Active Secret Security Clearance with SCI Eligibility, for which U.S citizenship is needed by the U.S government
  • Hold a BS with 2+ years of experience or M.S in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical Engineering, or other related discipline
  • Experience in applying AI/ML methods to real-world data science problems, especially in settings where data is sparse, noisy, and/or high dimensional
  • Experience deploying AI/ML models and constructing analytics pipelines using modern Python-based frameworks
  • Familiarity with creating data visualizations and user interfaces or dashboards
  • Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib
  • Proficient with version control software (Git), JIRA, Confluence, or other common collaboration tools
  • Demonstrated ability to collaborate effectively within cross-functional teams and communicate with customers and end users

Even better:

  • Active Top Secret (TS) Security Clearance 
  • Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization
  • Experience working with large datasets (> 100 GB) and familiarity with big data infrastructure and frameworks such as AWS, Hadoop, Spark, Dask, or MapReduce
  • Possession of an advanced degree in a scientific field and 2+ years of relevant experience after Bachelor's degree (work or post-graduate)
  • Experience in intelligence and military-related mission areas 

Pay Information
Full-Time Salary Range: $115,000 - $140,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.