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Senior Machine Learning Software Engineer Jobs in Atlanta, GA

Clifton Larson Allen

Senior AI Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

The Senior AI Engineer will lead the design and implementation of production-grade AI solutions ... This position blends applied machine learning, software engineering, cloud architecture, and end-to ...

Warner Bros. Discovery

Senior Software Engineer

Atlanta, GA · On-site

$117.80K - $155.30K/yr

... Machine Learning team at CNN is accelerating our digital transformation through strategic ... As a Senior Software Engineer on AI Systems, you will design, build, and operate AI-powered ...

Warnerbros

Senior Software Engineer

Atlanta, GA · On-site

$117.80K - $155.30K/yr

... Machine Learning team at CNN is accelerating our digital transformation through strategic ... As a Senior Software Engineer on AI Systems, you will design, build, and operate AI-powered ...

FanDuel

Senior Software Engineer

Atlanta, GA · On-site

$117.80K - $155.30K/yr

THE POSITION Our roster has an opening with your name on it As a Senior Software Engineer within ... Machine Learning, Data Science, Finance Engineering * Proficient in building services with modern ...

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Senior Machine Learning Software Engineer information

See Atlanta, GA salary details

$72.6K

$137.8K

$184.6K

How much do senior machine learning software engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for senior machine learning software engineer in Atlanta, GA is $137,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $155,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Software Engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What are some common challenges Senior Machine Learning Software Engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

What is a Senior Machine Learning Software Engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are popular job titles related to Senior Machine Learning Software Engineer jobs in Atlanta, GA? For Senior Machine Learning Software Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Atlanta, GA look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Atlanta, GA are:
Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Atlanta, GA as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $137,797 per year, or $66.2 per hour.

ML Software Engineer Intern - AI/CAD Integration

Falcomm

Atlanta, GA • On-site

Full-time, Part-time, Internship

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.