ZipRecruiter

Log In

1

Machine Learning Research Intern Jobs in Atlanta, GA

Bespoke Labs

Machine Learning Engineer

Kennesaw, GA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Atlanta, GA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

This innovation supports the critical evolution from research applications to clinical deployment ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

Autodesk

Senior Machine Learning Test Engineer

Atlanta, GA · On-site +1

$106K - $138K/yr

United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...

Georgia Tech

Research Intern (GTRI-ICL)

Atlanta, GA · On-site

... learning, discovery, and creation. We strongly encourage applicants whose values align with our ... About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Atlanta, GA

Machine Learning Research Intern information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

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

As of Aug 11, 2026, the average yearly pay for machine learning research intern in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
What are popular job titles related to Machine Learning Research Intern jobs in Atlanta, GA? For Machine Learning Research Intern jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Intern jobs in Atlanta, GA look for? The top searched job categories for Machine Learning Research Intern jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Machine Learning Research Intern jobs? Cities near Atlanta, GA with the most Machine Learning Research Intern job openings:
Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

ML Software Engineer Intern - AI/CAD Integration

Falcomm

Atlanta, GA • On-site

Full-time, Part-time, Internship

Re-posted 3 days ago

Job description

Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions.

We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards.
Responsibilities

  • Design and implement code for training/serving ML models in chip design workflows
  • Automate creation of large datasets for training models
  • Integrate ML models into existing chip design software infrastructure
  • Write comprehensive tests and documentation
  • Collaborate with engineers to understand model requirements and deployment needs
  • Participate in code reviews and follow software engineering best practices
  • Research and evaluate new technologies for ML model serving and deployment

Requirements

  • Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
  • Availability to work at least part-time starting in Fall 2026
  • Strong Python programming skills with experience in scripting and automation
  • Understanding of software engineering principles and code organization
  • Experience with data processing libraries (pandas, numpy, scipy)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
  • Basic understanding of file I/O, data parsing, and format conversion
  • Experience with version control systems (Git) and collaborative development

Preferred Skills

  • Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.)
  • Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE)
  • Experience with shell scripting (bash) and command-line tools
  • Understanding of semiconductor design concepts
  • Familiarity with Linux environments
  • Experience with workflow automation and batch processing systems
  • Knowledge of data visualization tools (matplotlib, plotly) for design analysis
  • Understanding of software testing frameworks and debugging techniques

Benefits

  • Competitive Salary
  • Sick Leave
DISCLOSURE
  • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
  • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.
  • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.