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Machine Learning Remote Internship Jobs in Lithonia, GA

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

Worldpay

Principal Data Scientist

Atlanta, GA · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ...

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

FirstBank

Senior Automation Developer

Atlanta, GA · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

FirstBank

Senior Automation Developer

Atlanta, GA · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

American Software

Client Executive - Midwest

Atlanta, GA · On-site +1

$73K - $100K/yr

... and machine learning to help deliver integrated planning and operations across the end-to-end ... Must successfully complete and clear a criminal background check #LI-Remote Equal Opportunity ...

Logility

Client Executive - West

Atlanta, GA · On-site +1

$73K - $100K/yr

... and machine learning to help deliver integrated planning and operations across the end-to-end ... Must successfully complete and clear a criminal background check #LI-Remote Equal Opportunity ...

American Software

Client Executive - West

Atlanta, GA · On-site +1

$73K - $100K/yr

... and machine learning to help deliver integrated planning and operations across the end-to-end ... Must successfully complete and clear a criminal background check #LI-Remote Equal Opportunity ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Lithonia, GA

Machine Learning Remote Internship information

See Lithonia, GA salary details

$23.3K

$38.9K

$80.3K

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

As of Jul 26, 2026, the average yearly pay for machine learning remote internship in Lithonia, GA is $38,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,000.00 per year, depending on experience, location, and employer.

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 Lithonia, GA? For Machine Learning Remote Internship jobs in Lithonia, GA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Lithonia, GA look for? The top searched job categories for Machine Learning Remote Internship jobs in Lithonia, GA are:
What cities near Lithonia, GA are hiring for Machine Learning Remote Internship jobs? Cities near Lithonia, GA with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Lithonia, GA as of July 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 100% Remote job distribution, with an average salary of $38,877 per year, or $18.7 per hour.
Senior AI Engineer 2026 - US (Remote)

Senior AI Engineer 2026 - US (Remote)

Aimpoint Digital

Atlanta, GA • Remote

$107K - $146K/yr

Full-time

Posted 25 days ago

Job description

Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications.

We are not a commodity consulting firm. We are a technical partner to organizations that need to move beyond experimentation and deploy AI into real business workflows with the architecture, governance, reliability, and engineering discipline required for production.

We believe successful AI initiatives require much more than prompting an LLM. They require strong software engineering, scalable architecture, reliable deployment, thoughtful evaluation, and disciplined engineering practices.

About the Role

As a Senior AI Engineer, you will work directly with clients to design, build, deploy, and scale enterprise AI solutions. You will combine strong software engineering fundamentals with modern AI technologies to deliver production-ready systems that create measurable business value.

You will work across the entire AI engineering lifecycle; from solution architecture and application development to deployment, evaluation, and operationalization.

What You Will Do

  • Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows
  • Translate business problems into scalable technical solutions using modern AI engineering best practices
  • Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems
  • Build multi-agent systems, AI agents, workflow automation, and decision-support systems
  • Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance
  • Design AI systems that integrate with enterprise data platforms, APIs, databases, messaging systems, and business applications
  • Collaborate with cross-functional client teams including engineering, data, product, architecture, security, and business stakeholders
  • Experience deploying and operating containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring
  • Contribute reusable accelerators, frameworks, technical assets, and thought leadership that strengthen the AI Engineering practice
  • Stay current with emerging AI technologies and recommend practical approaches that improve client outcomes

What We Are Looking For

We are looking for engineers who enjoy solving difficult technical problems and building production software. You are comfortable moving between software engineering, AI application development, cloud architecture, and client collaboration.

You understand that successful AI systems require excellent engineering, not just excellent models.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
  • 3+ years of professional software engineering experience building production applications
  • 1+ years designing and deploying AI or machine learning solutions into production
  • Strong programming experience using Python, Java, C#, Go, TypeScript, or similar languages
  • Experience building scalable backend systems, APIs, or distributed applications.
  • Experience developing AI applications using modern LLMs, machine learning models, or intelligent automation solutions
  • Experience with online and offline evaluation, observability, context engineering, guardrails, and AI governance
  • Experience with MLOps, LLMOps, or production deployment pipelines
  • Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design
  • Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other comparable coding harnesses
  • Experience integrating AI applications with enterprise data sources, APIs, and business systems
  • Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar technologies
  • Experience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologies
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
  • Ability to independently own technical workstreams while collaborating across multidisciplinary teams

Preferred Qualifications

One or more of the following is a plus:

  • Experience developing production APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, and Express
  • Experience building multi-agent systems, AI automated workflows, agents, semantic search, vector databases, or knowledge graph retrieval applications
  • Experience designing distributed systems, concurrency, or high-scale cloud applications
  • Experience deploying AI solutions serving 1000+ users
  • Consulting experience or experience working directly with enterprise customers
  • Experience building data pipelines, including ETL, ELT, batch, and streaming pipelines for analytics and AI applications
  • Experience pre-training or fine-tuning LLMs

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.