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Machine Learning Intern Remote Jobs in Wilton, CT

JobTarget LLC

Agentic AI Developer Intern

Stamford, CT · On-site +1

$27 - $30/hr

The Opportunity We are looking for a motivated Generative AI Developer Intern to join our AI ... Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.

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PLATFORM CLOUD ENGINEER - REMOTE

Stamford, CT · Remote

$70 - $80/hr

Platform Cloud Engineer This role is a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities. The position ...

Relativity

Principal Applied Scientist

Bridgeport, CT · On-site +1

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 ...

DataAnnotation

QA Engineer - AI Trainer

New Haven, CT · Remote

$50 - $100/hr

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 ...

DataAnnotation

SDLC Engineer - AI Trainer

Stamford, CT · Remote

$50 - $100/hr

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 ...

DataAnnotation

QA Engineer - AI Trainer

Stamford, CT · Remote

$50 - $100/hr

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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All JobsMachine Learning Intern JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Wilton, CT

Machine Learning Intern Remote information

See Wilton, CT salary details

$26.4K

$44.1K

$91.1K

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 Wilton, CT is $44,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,700.00 and $47,600.00 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 Wilton, CT are hiring for Machine Learning Intern Remote jobs? Cities near Wilton, CT with the most Machine Learning Intern Remote job openings:
Machine Learning Intern Remote jobs near you
Infographic showing various Machine Learning Intern Remote job openings in Wilton, CT as of July 2026, with employment types broken down into 14% Internship, 1% As Needed, 50% Full Time, 32% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $44,107 per year, or $21.2 per hour.
Agentic AI Developer Intern

Agentic AI Developer Intern

JobTarget LLC

Stamford, CT • On-site, Remote

$27 - $30/hr

Internship

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

JobTarget is a leading company in the online job search and recruiting industry. Our team is comprised of experts in recruitment, e-commerce, and online job search. Our products are used by thousands of corporate recruiters and reach millions of job seekers. The company values work-life balance, rewarding risk and creativity, and an open culture. driven, and open-minded. We're perpetually searching for ways to make the job search process better, so if you're up for the challenge, apply, and let's make it better together. 

The Opportunity
We are looking for a motivated Generative AI Developer Intern to join our AI Engineering Team. In this role, you will help design, build, test, and improve AI-powered applications and internal tools using modern software engineering practices. You will work closely with software engineers, AI/ML engineers, product managers, and data teams to develop prototypes, integrate large language models, build APIs, evaluate model outputs, and contribute to production-quality AI features. This internship is ideal for students or recent graduates with a strong computer science background, solid coding skills, and an interest in building practical applications using generative AI technologies. Must be able to work at least 30 hours a week.

Responsibilities

  • Develop and maintain AI-powered software features, prototypes, and internal tools.

  • Write clean, efficient, and well-documented code in Python or another modern programming language.

  • Integrate large language models and AI APIs into applications, workflows, or backend services.

  • Assist in building retrieval-augmented generation, prompt workflows, model evaluation pipelines, and AI agent workflows.

  • Support development of agentic AI applications using frameworks such as LangGraph, LangChain, or similar tools.

  • Collaborate with engineers to design APIs, services, and data flows that support AI applications.

  • Test, debug, and improve AI system behavior, including accuracy, reliability, latency, and usability.

  • Participate in code reviews, unit testing, documentation, and deployment activities.

  • Help evaluate AI outputs for quality, consistency, safety, and business usefulness.

  • Work with structured and unstructured data, including text, documents, logs, or user-generated content.

  • Stay current with emerging AI development tools, frameworks, and best practices.

Required Qualifications

  • Currently pursuing a Bachelor’s or Master’s degree (preferred) in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.

  • Strong programming skills in Python, JavaScript/TypeScript, Java, or a similar language.

  • Solid understanding of data structures, algorithms, object-oriented programming, and software engineering fundamentals.

  • Experience building software projects, APIs, applications, automation scripts, or backend services.

  • Familiarity with REST APIs, JSON, Git, and basic cloud or deployment concepts.

  • Strong analytical and problem-solving skills.

  • Ability to learn quickly, communicate clearly, and work well in a collaborative engineering environment.

Preferred Qualifications

  • Experience with generative AI tools, LLM APIs, or AI application frameworks.

  • Familiarity with tools or concepts such as: OpenAI, Anthropic, Gemini, Azure OpenAI, or similar LLM platforms LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar AI application frameworks

  • AI agents, multi-step workflows, tool calling, memory, routing, or orchestration patterns

  • Vector databases such as Pinecone, Weaviate, Chroma, FAISS, or pgvector

  • Retrieval-augmented generation, embeddings, prompt engineering, or model evaluation

  • FastAPI, Flask, Node.js, React, or similar application frameworks

  • Docker, CI/CD, cloud platforms, or basic DevOps workflows

  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.

  • Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP, automation, or software development.

  • Interest in responsible AI, model evaluation, privacy, security, and safe AI deployment.

What You’ll Learn

  • How to build real-world generative AI applications and AI-powered developer tools.

  • How to integrate LLMs into software systems using APIs, embeddings, retrieval, and evaluation workflows.

  • How to design AI agent workflows using tools such as LangGraph and related frameworks.

  • Best practices for writing production-quality code for AI applications.

  • How to test and improve AI system reliability, accuracy, and performance.

  • How AI engineering teams collaborate across product, data, software, and infrastructure functions.

  • Practical exposure to modern AI development frameworks, cloud tools, and deployment practices.

Hourly pay range: $27.00 - $30.00. JobTarget is an equal-opportunity employer. 


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