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Machine Learning Engineer Intern Jobs in Lawrenceville, GA

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

AGS

Machine Learning Engineer

Duluth, GA · On-site

Job Overview The Data Scientist / ML Engineer builds and deploys predictive models and analytical ... Machine learning breadth - classification, regression, clustering, recommendation systems; can ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Workday

Sr Machine Learning Engineer

Atlanta, GA

$159K - $276K/yr

... Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, Pytorch) Other Qualifications: * Strong programming skills in Python with proficiency in relevant libraries ...

Speria

Machine Learning Operations Engineer

Atlanta, GA · On-site

$120 - $180/hr

The MLOps Engineer works closely with Machine Learning Engineers and Data Engineers to ensure that models and decisioning systems are production-ready, observable, cost-efficient, and seamlessly ...

AppFolio

Sr. Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

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Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Lawrenceville, GA

Machine Learning Engineer Intern information

See Lawrenceville, GA salary details

$23.4K

$39K

$80.6K

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

As of Aug 10, 2026, the average yearly pay for machine learning engineer intern in Lawrenceville, GA is $39,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,800.00 and $42,200.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Lawrenceville, GA? The most popular types of Machine Learning Engineer jobs in Lawrenceville, GA are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Lawrenceville, GA? For Machine Learning Engineer Intern jobs in Lawrenceville, GA, the most frequently searched job titles are:
What cities near Lawrenceville, GA are hiring for Machine Learning Engineer Intern jobs? Cities near Lawrenceville, GA with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Lawrenceville, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $39,020 per year, or $18.8 per hour.

Machine Learning Engineer III - AI/ML Product Engineering

4pconsultinginc

Atlanta, GA • On-site

Contractor

Posted 4 days ago

Job description

Position:         Machine Learning Engineer III – AI/ML Product Engineering

Location:        Atlanta, GA

Duration:        5 Months
Client:            Southern Company Services
 

Only W2 Candidates

Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies.

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands-on AI/ML experience, and expertise with Azure or Google Cloud Platform.

Key Responsibilities

  • Design and build modular, reusable AI components and services.
  • Develop scalable RAG solutions using structured and unstructured data.
  • Engineer multi-agent systems for task coordination, workflow automation, and decision support.
  • Build transcription and NLP pipelines for customer-interaction analysis.
  • Develop and fine-tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks.
  • Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks.
  • Integrate Databricks for data ingestion, feature engineering, experimentation, and model development.
  • Develop reusable libraries, APIs, templates, and engineering patterns.
  • Partner with MLOps, DevOps, data engineering, architecture, and product teams.
  • Implement monitoring for model performance, data drift, system usage, and operational reliability.
  • Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements.
  • Provide technical guidance to teams adopting shared AI products and components.

Required Qualifications

  • Strong experience developing and deploying production-grade AI and machine learning solutions.
  • Hands-on experience with RAG architectures, LLM applications, multi-agent systems, and NLP.
  • Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning.
  • Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain.
  • Experience deploying scalable models and AI services in cloud environments.
  • Knowledge of APIs, software engineering practices, model monitoring, and MLOps.
  • Experience working with structured and unstructured datasets.
  • Strong communication, collaboration, analytical, and problem-solving skills.

Preferred Qualifications

  • Experience with Databricks, vector databases, embeddings, and semantic search.
  • Experience building reusable enterprise AI platforms or shared AI services.
  • Knowledge of model evaluation, data drift, observability, and responsible AI.
  • Familiarity with CI/CD, containers, Kubernetes, and cloud-native deployment.
  • Utility, energy, or regulated-industry experience is preferred.