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Google Machine Learning Engineer Jobs in Atlanta, GA

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 ...

Crowe LLP

Machine Learning Engineer

Atlanta, GA

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Dolby

Staff Machine Learning Engineer

Atlanta, GA · On-site

Knowledge of statistics, data science, AI/machine learning, big data management * Strong ... Familiarity with DevOps, CI/CD (Github Actions, etc), bash, UNIX/Linux commands, etc * Familiar ...

Dolby

Staff Machine Learning Engineer

Atlanta, GA · On-site

Knowledge of statistics, data science, AI/machine learning, big data management * Strong ... Familiarity with DevOps, CI/CD (Github Actions, etc), bash, UNIX/Linux commands, etc * Familiar ...

Dolby

Staff Machine Learning Engineer

Atlanta, GA

... machine learning and AI, big graphs, natural language processing, big data management, and ... with DevOps, CI/CD (Github Actions, etc), bash, UNIX/Linux commands, etc Familiar with git and ...

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Google Machine Learning Engineer information

See Atlanta, GA salary details

$30.3K

$123.8K

$186.1K

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

As of Sep 12, 2026, the average yearly pay for google machine learning engineer in Atlanta, GA is $123,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $149,100.00 per year, depending on experience, location, and employer.

What is a Google machine learning engineer?

A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.

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

To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.

What types of projects and collaborations can Google machine learning engineers expect to be involved in?

Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.

What are popular job titles related to Google Machine Learning Engineer jobs in Atlanta, GA?

For Google Machine Learning Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

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The top searched job categories for Google Machine Learning Engineer jobs in Atlanta, GA are:

Google Machine Learning Engineer jobs near you
Infographic showing various Google Machine Learning Engineer job openings in Atlanta, GA as of September 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $123,832 per year, or $59.5 per hour.

Senior Manager, Application & Machine Learning Engineer

Atlanta, GA • On-site

The Coca-Cola Company
Food Services and Drinking Places • 10K+ employees
Learn more about The Coca-Cola Companyexternal

Other

Posted 3 days ago

New

Coca-Cola rating

7.5

Company rating: 7.5 out of 10

Based on 445 frontline employees who took The Breakroom Quiz

Job description

Role Overview
The Senior Manager, Application & Machine Learning Engineer is part of the Product Engineering team within the Digital Product & Engineering organization ofCoca-Cola'sGlobal Digital Network and reports to the Senior Director, Engineering Excellence Lead. This role plays a critical part in advancingCoca-Cola'sdigital transformation by building, scaling, and operationalizing intelligent applications that embed data, artificial intelligence, and machine learning intoprioritizeddomainsacross the enterprise.
Working within an engineering excellence framework, this role partners closely with Product Managers, Product Engineers, Data Scientists, Data Engineers, Architects, and domain stakeholders to develop secure, scalable, and high-performing digital products that accelerate growth, productivity, and operational efficiency. The roleis responsible fortranslating emerging AI and machine learning capabilities into production-ready solutions that create measurable business value and support the organization's transition to a digital-first, product-centric operating model.
The ideal candidate combines modern software engineeringexpertisewith machine learning delivery experience and a passion for continuous improvement, helpingestablishbest practices, reusable engineering patterns, and operational excellence across the Digital Product & Engineering organization.
What You will do for us
  • Design, develop, deploy, and support enterprise-grade applications and intelligentdigitalproducts thatleverageartificial intelligence and machine learning capabilities.

  • Partner with Product Engineering, Data, Platform, and Architecture teams to embed AI-enabled functionality into products serving critical business domains.

  • Drive engineering excellence by implementing modern software engineering standards, development practices, testing frameworks, and automation capabilities.

  • Build, deploy, and manage machine learning solutions that can be scaled across multiple use cases, products, and business functions.

  • Establish and promote reusable engineering patterns, frameworks, and components that improve product quality, maintainability, and development speed.

  • Collaborate with Product Managers and business stakeholders to translate business opportunities into scalable digital solutions that deliver measurable value.

  • Implement Machine Learning Operations (MLOps) practices that support model deployment, monitoring, lifecycle management, governance, and continuous improvement.

  • Contribute to the Product Engineering strategy by identifying opportunities to improve application performance, developer productivity, and platform capabilities.

  • Ensure solutions comply with enterprise cybersecurity, privacy, responsible AI, and architectural standards.

  • Evaluate emerging technologies, engineering tools, and AI capabilities to accelerate innovation while maintaining operational stability and reliability.

  • Mentor engineers and contribute to a culture of technical excellence, continuous learning, experimentation, and knowledge sharing across the Digital Product & Engineering organization.

  • Support the Digital Product & Engineering organization in building scalable digital products that enable Coca-Cola's digital growth engine.

Requirements and Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical discipline.

  • 7+ years of experience in software engineering, application development, platform engineering, or digital product engineering environments.

  • 3+ years of experience delivering machine learning or artificial intelligence solutions in production environments.

  • Experience developing cloud-native applications using modern architectural patterns and engineering practices.

  • Demonstrated expertise in application engineering, machine learning frameworks, model deployment, and production support.

  • Experience implementingMLOps, CI/CD pipelines, automated testing, observability, monitoring, and deployment practices.

  • Strong understanding of software design principles, APIs, microservices, distributed systems, and scalable application architectures.

  • Experience collaborating within product-centric operating models and agile product delivery teams.

  • Strong knowledge of engineering quality practices, code review processes, software reliability, and operational excellence principles.

  • Experience integrating data, analytics, AI, and machine learning capabilities into customer-facing or enterprise digital products.

  • Understanding ofresponsible AI, model governance, cybersecurity, privacy, and enterprise risk management requirements.

  • Demonstrated ability to influence technical decisions and collaborate effectively within global, cross-functional teams.

  • Strong communicationskills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

  • Demonstrated digital fluency, AI fluency, and commitment to adopting emerging technologies that create business value.

  • Experience driving continuous improvement and engineering excellence initiatives within modern technology organizations.

What Coca-Cola employees say

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Benefits

Hours and flexibility

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About Coca-Cola

Sourced by ZipRecruiter

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta where the first glass of Coca‑Cola was poured. From that one iconic drink, we’ve evolved into a total beverage company. More than 2.2 billion servings of our drinks are enjoyed in more than 200 countries and territories each day. We are constantly transforming our portfolio, from reducing added sugar in our drinks to bringing innovative new products to market. We seek to positively impact people’s lives, communities and the planet through water replenishment, packaging recycling, sustainable sourcing practices and carbon emissions reductions across our value chain. Together with our bottling partners, we employ more than 700,000 people, helping bring economic opportunity to local communities worldwide. We are committed to offering people more of the drinks they want across a range of categories and sizes while driving sustainable solutions that build resilience into our business and create positive change for the planet.

Industry

Food services and drinking places and food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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