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Machine Learning Intern Remote Jobs in Ansonia, CT

Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Machine Learning Intern Remote information

See Ansonia, CT salary details

$25.6K

$42.7K

$88.3K

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

As of Jul 14, 2026, the average yearly pay for machine learning intern remote in Ansonia, CT is $42,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What cities near Ansonia, CT are hiring for Machine Learning Intern Remote jobs? Cities near Ansonia, CT with the most Machine Learning Intern Remote job openings:
Principal Applied Scientist, Reliability & Agentic AI

Principal Applied Scientist, Reliability & Agentic AI

Relativity

Bridgeport, CT • On-site, Remote

Full-time

Posted 18 days ago


Job description

Relativity is seeking a Principal Applied Scientist, Reliability, to design and validate trusted intelligent systems for high-stakes legal workflows. This role focuses on applying machine learning and statistical methods to develop robust solutions, with a focus on production efficiency and model reliability. Candidates should have over 8 years of experience and advanced degrees in relevant fields. The position offers competitive compensation, a collaborative culture, and opportunities for growth. This role is remote/hybrid and encourages contributions to impactful AI projects. #J-18808-Ljbffr