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Remote Full Stack Machine Learning Engineer Jobs in Massachusetts

Chewy

Senior Full Stack Engineer, Sponsored Ads

Boston, MA · On-site +1

$141K - $225K/yr

As an experienced Software Engineer with a background in frontend and full-stack development. You excel in working on backend and frontend services with technologies like Typescript, Python, Java and ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motorola

Senior DevOps Engineer (US REMOTE)

Waltham, MA · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Autodesk

Senior Machine Learning Test Engineer

Boston, MA · On-site +1

$120K - $155K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

Whoop

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

QUALIFICATIONS: * 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. * Hands-on ...

Whoop

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

QUALIFICATIONS: * 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. * Hands-on ...

Adidev Technologies Inc

ML/AI Engineers

Boston, MA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

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Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Massachusetts? The most popular types of Full Stack Machine Learning Engineer jobs in Massachusetts are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Massachusetts? For Remote Full Stack Machine Learning Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Massachusetts look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Massachusetts are:
Remote Full Stack Machine Learning Engineer jobs near you
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Remote QA Engineer (AI/ML Focus)

Special Projects Engineering LLC

Boston, MA • Remote

Full-time

Medical, Dental, Vision

Re-posted 16 days ago

Job description

bout Special Projects Engineering LLC

Special Projects Engineering is a small, elite team based in Seattle tackling complex, high-impact problems using advanced AI and automation. We work across domains like autonomous systems, predictive infrastructure, synthetic biology, and next-gen defense tech. When something hasn’t been done before, we don’t shy away — we build it.

What You’ll Do

As a QA Engineer focused on ML/AI systems, your mission is to ensure the reliability, accuracy, and stability of intelligent systems that operate in messy, real-world environments. You’ll design robust testing frameworks and evaluation pipelines to validate everything from perception models to full-stack ML deployments.

Responsibilities:

  • Develop and maintain automated test suites for machine learning pipelines and AI-enabled systems

  • Create testing strategies for models handling visual, audio, sensor, and textual data

  • Validate data inputs, model outputs, performance benchmarks, and edge-case behavior

  • Build tools for continuous integration and regression testing across ML components

  • Work with ML engineers to define evaluation metrics and acceptable thresholds

  • Help ensure models are safe, stable, and robust before deployment

  • Identify gaps in test coverage and build test plans that scale with the codebase

What We’re Looking For

  • 3+ years in software QA, test automation, or related role

  • Hands-on experience testing ML models or AI systems in production environments

  • Strong Python skills; bonus if you’ve worked with PyTorch, TensorFlow, or JAX

  • Familiarity with ML lifecycle and model validation techniques

  • Experience with CI/CD pipelines, test frameworks, and debugging tools

  • Detail-oriented mindset with strong instincts for edge cases and failure modes

  • Bonus: background in data validation, simulation environments, or robotics

Why Join Us

  • Remote first company

  • Competitive salary and equity

  • Flexible hours and remote-friendly culture

  • Full health, dental, and vision insurance

  • High-end GPU hardware and compute resources

  • Work on real-world AI systems with a high-caliber team

  • Fast-moving environment where your work directly impacts production

If you care about building AI that actually works, works well, and works safely — we’d love to talk.