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Machine Learning Remote Internship Jobs in Massachusetts

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Principal Machine Learning Engineer

Boston, MA ยท On-site +1

$189K - $312K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research ... Autonomy and flexibility - Remote-first, flexible working. We hire great people and trust them to ...

Machine Learning Systems Engineer

Boston, MA ยท 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 ...

Lead Machine Learning Engineer - REMOTE

Boston, MA ยท Remote

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

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Machine Learning Remote Internship information

What types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

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

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Massachusetts? For Machine Learning Remote Internship jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Massachusetts look for? The top searched job categories for Machine Learning Remote Internship jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Remote Internship jobs? Cities in Massachusetts with the most Machine Learning Remote Internship job openings:
Infographic showing various Machine Learning Remote Internship job openings in Massachusetts as of June 2026, with employment types broken down into 38% Full Time, 32% Part Time, and 30% Contract. Highlights an 100% Remote job distribution.
Machine Learning Operations Engineer

Machine Learning Operations Engineer

Modulate

Somerville, MA โ€ข On-site, Remote

$150 - $200K/hr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago


Job description

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform - APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Machine Learning Operations Engineer to own and scale the production inference systems behind Modulate's machine learning models. This role will focus on ensuring high availability, reliability, and efficiency of deployed models across our APIs and enterprise products as we rapidly grow in customer usage and model demand.

Your Impact

  • Own the reliability and performance of ML model inference systems in production

  • Ensure high availability of deployed models across APIs and enterprise products

  • Build systems to handle scaling, load variability, and production traffic growth

  • Reduce operational burden through better tooling, automation, and processes

  • Help define how Modulate runs ML systems at scale with reliability and efficiency

What You Will Do

  • Deploy, monitor, and maintain production machine learning inference systems

  • Oversee fleets of inference machines and ensure system health and performance

  • Design monitoring, alerting, and incident response systems for ML workloads

  • Participate in on-call rotations and lead incident response and debugging

  • Build systems and processes for scaling inference infrastructure under variable load

  • Improve reliability and observability of production ML services

  • Collaborate on infrastructure-as-code for production deployments

  • Support or contribute to GPU-based training and inference infrastructure

  • Work closely with ML and engineering teams to ensure smooth model deployments

  • (Optional growth area) Optimize model inference performance and latency

What We Are Looking For

  • Experience deploying and maintaining production software systems

  • Experience building monitoring and alerting systems for production environments

  • Experience with on-call rotations and incident response

  • Strong experience with AWS, Python, and Linux

  • Exposure to PyTorch or similar ML frameworks

  • Experience working with GPU-based applications and basic GPU tooling (drivers, runtime, monitoring)

  • Strong debugging and systems thinking skills

  • Ability to operate calmly in production incident environments

Nice to Have

  • Experience with ML model serving systems or dedicated model servers

  • Experience monitoring GPU performance for inference workloads

  • Experience optimizing machine learning model inference

  • Familiarity with audio or multimedia data (codecs, streaming, real-time systems)

  • Experience with infrastructure-as-code (e.g., Terraform, CloudFormation)

Benefits

  • Competitive salary + equity

  • Full health, dental, and vision coverage

  • Flexible PTO with strong culture of taking it

  • Weekly team lunches with dietary accommodations

  • Hybrid work with core in-office days and flexible remote options

  • Leadership and technical learning sessions

  • Career development and continued learning support

  • Up to 8 weeks work-from-anywhere policy

  • A deeply inclusive, human-centered culture

Pay Transparency
Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

  • Salary: $150-$200K

  • Equity: Offered

  • Other perks: HSA, FSA, 15 holidays, professional growth resources

About Modulate
Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyond-and we're growing fast. We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people-and we're building technology that does the same.

Ready to join us? Apply here or reach out directly-we're excited to meet you.

A quick note as you apply

  • Please apply through the website rather than emailing [emailย protected]

  • For application questions ("Your fit for the role," "Your values/goals," "Why Modulate?"), focus on relevant experience and motivations

  • Avoid including protected demographic information

  • Keep responses authentic and in your own voice

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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