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Machine Learning Remote Internship Jobs in Danbury, CT

EXPERIENCE CAMPS, INC.

Senior Clinical Manager

Westport, CT · Remote

$90K - $100K/yr

Primarily remote position with travel for in-person requirements. On-site availability during 3-4 ... Experience managing clinical staff, interns, or volunteers. * Experience in camp settings and peer ...

Experience Camps

Senior Clinical Manager

Westport, CT · On-site +1

$90K - $100K/yr

Primarily remote position with travel for in-person requirements. On-site availability during 3-4 ... Experience managing clinical staff, interns, or volunteers. * Experience in camp settings and peer ...

Atlas Technica

Jr. Systems Engineer - Hybrid

Stamford, CT · On-site +1

$55K - $75K/yr

... learning and accelerated technical growth. This role will provide direct support to client users ... Provide onsite and remote IT support to client users. * Troubleshoot and resolve desktop, software ...

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All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Danbury, CT

Machine Learning Remote Internship information

See Danbury, CT salary details

$26.1K

$43.6K

$90K

How much do machine learning remote internship jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning remote internship in Danbury, CT is $43,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,100.00 per year, depending on experience, location, and employer.

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 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 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 Danbury, CT?

For Machine Learning Remote Internship jobs in Danbury, CT, the most frequently searched job titles are:

What job categories do people searching Machine Learning Remote Internship jobs in Danbury, CT look for?

The top searched job categories for Machine Learning Remote Internship jobs in Danbury, CT are:

What cities near Danbury, CT are hiring for Machine Learning Remote Internship jobs?

Cities near Danbury, CT with the most Machine Learning Remote Internship job openings:

Machine Learning Remote Internship jobs near you

Jr. Systems Engineer - Hybrid (Remote)

Atlas Technica

Greenwich, CT • Remote

$55K - $75K/yr

Full-time

Posted 23 days ago

Job description

Position Name: Jr. Systems Engineer
Reports to: Client Technology Manager
Department: Support
Location: New York City / Stamford / Greenwich Hybrid
Type: Full-Time Hourly, Non-Exempt

About Atlas Technica

Atlas Technica's mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our core values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Position Overview

We are seeking a Junior Systems Engineer to join our rapidly growing organization. This is a hands-on technical role offering strong career development opportunities for someone looking to expand their experience in IT support, systems administration, and client-facing technology services.

The Junior Systems Engineer will work closely with Systems Engineers and Senior Systems Engineers in a highly collaborative environment that supports continuous learning and accelerated technical growth. This role will provide direct support to client users and infrastructure while serving as an extension of the Atlas Technica Support Team. This is a hybrid position that requires onsite support at client offices as needed.

This is an excellent opportunity to join a financial industry-focused managed service provider and gain experience supporting high-profile clients in a fast-paced, professional environment.

Responsibilities
  • Provide onsite and remote IT support to client users.
  • Troubleshoot and resolve desktop, software, hardware, mobile device, and connectivity issues.
  • Use a ticketing system to document, manage, and resolve support requests.
  • Escalate technical issues to Systems Engineers or Senior Systems Engineers when appropriate.
  • Maintain accurate and up-to-date technical documentation.
  • Follow organizational policies, procedures, and client-specific guidelines.
  • Adhere to established change-control procedures.
  • Support client users and infrastructure across New York City, Stamford, and Greenwich as needed.
Requirements
  • At least one year of professional IT experience in desktop support, systems engineering, systems administration, or a related technical support function.
  • Experience providing end-user and desktop support for:
    • Microsoft Windows
    • Microsoft Office
    • Desktop and laptop computers
    • Mobile devices
  • Experience supporting primarily Microsoft 365 technologies, including:
    • Exchange Online
    • SharePoint Online
    • Microsoft Intune
    • Microsoft Entra ID/Azure Active Directory
  • Basic knowledge of Microsoft Windows Server platforms, Active Directory, and Group Policy.
  • Basic understanding of networking concepts.
  • Strong verbal and written communication skills.
  • Demonstrated responsibility, attention to detail, and follow-through.
  • Ability to work effectively with client users, technical team members, and other stakeholders.
  • Ability to commute to client offices in New York City, Stamford, and Greenwich as needed.
  • Periodic travel between customer office locations within the metropolitan area will be required.
  • Ability to meet the physical requirements of the role, including, but not limited to:
    • Lifting and carrying up to 50 pounds
    • Standing or sitting for extended periods
    • Pushing and pulling equipment
    • Climbing stairs
    • Stooping, kneeling, or crouching
    • Using hands and fingers to handle equipment
    • Reaching above the head or below knee level
    • Working around machinery and material-handling equipment
Desirable Qualities
  • Experience supporting clients within the financial services or alternative investment industries.
  • Familiarity with financial market applications, including Bloomberg, Thomson Reuters, FactSet, or Capital IQ.
  • Experience working in a managed service provider environment.
  • Experience supporting Sophos or a similar endpoint threat-management platform.
  • Basic understanding of virtualization platforms such as VMware or Hyper-V.
  • Experience using the ConnectWise suite of products.
  • Experience supporting platforms such as Google Workspace, Box, Dropbox, Duo, Okta, or AirWatch.
Equal Employment Opportunity

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, protected veteran status, disability status, or any other characteristic protected by applicable law.