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Temporary Machine Learning Software Engineer Jobs in Georgia

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... Ability to establish the best practices of Software Development Life Cycle for the team

CNN

Machine Learning Engineer I

Atlanta, GA · On-site

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and ... software engineering best practices, including version control, testing, and CI/CD • Ability to ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Minimum 5 years of software development experience with a strong foundation in machine learning ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Minimum 5 years of software development experience with a strong foundation in machine learning ...

Inovalon, Inc.

Senior Machine Learning Engineer

Atlanta, GA · On-site

$118K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Minimum 5 years of software development experience with a strong foundation in machine learning ...

Ksb

Machine Learning Engineer

Grovetown, GA

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to: Metallurgical and Materials R&D Lab Manager Location: Grovetown, GA, USA (onsite) Shift: First FLSA ...

Autodesk

Senior Machine Learning Test Engineer

Atlanta, GA · On-site +1

$106K - $138K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

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 ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

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Temporary Machine Learning Software Engineer information

What is the difference between Temporary Machine Learning Software Engineer vs Data Scientist?

AspectTemporary Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; coding skillsBachelor's or Master's in CS, Statistics, or related fields; analytical skills
Work EnvironmentSoftware development teams, project-based rolesData analysis teams, research-focused roles
Employer & Industry UsageTech companies, startups, consulting firmsFinance, healthcare, tech, research institutions
Search & Comparison IntentOften compared for technical roles involving ML implementationCompared for data analysis and modeling expertise

The main difference is that a Temporary Machine Learning Software Engineer focuses on developing and deploying ML models within software projects, while a Data Scientist emphasizes data analysis, statistical modeling, and deriving insights from data. Both roles require strong technical skills, but their focus areas and typical tasks differ.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Georgia? The most popular types of Machine Learning Software Engineer jobs in Georgia are:
What cities in Georgia are hiring for Temporary Machine Learning Software Engineer jobs? Cities in Georgia with the most Temporary Machine Learning Software Engineer job openings:
Temporary Machine Learning Software Engineer jobs near you

ML Software Engineer Intern - AI/CAD Integration

Falcomm

Atlanta, GA

Other

Posted 20 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.

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