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Google Machine Learning Engineer Jobs in Atlanta, GA

Machine Learning Engineer Atlanta, Georgia, United States About the Job We are supporting a client in the Risk and Insurance industry in the search for a driven Machine Learning Engineer to help us ...

Machine Learning Engineer

Atlanta, GA ยท On-site

$110.10K - $132.20K/yr

Machine Learning Engineer TECHM-JOB-30814 Position :- Machine Learning Engineer Location :- Atlanta GA (Day 1 onsite) Preferably 10+ years' experience having strong Data Analytical Skills with Hands ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III you will be a team lead on the Marketplace Efficiency - Job Reach team. Your team will be responsible for maintaining ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site +1

$162.51K - $342.75K/yr

Staff Machine Learning Engineer We are Omnissa. The world is evolving quickly, and organizations everywhere--from global enterprises to educational institutions--are under pressure to deliver ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site +1

$162.51K - $342.75K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

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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 May 28, 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 job?

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 are the key skills and qualifications needed to thrive in the Google Machine Learning Engineer position, and why are they important?

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 the most commonly searched types of Google Machine Learning Engineer jobs in Atlanta, GA? The most popular types of Google Machine Learning Engineer jobs in Atlanta, GA are:
What job categories do people searching Google Machine Learning Engineer jobs in Atlanta, GA look for? The top searched job categories for Google Machine Learning Engineer jobs in Atlanta, GA are:

Machine Learning Engineer

TheTalentos, LLC

Atlanta, GA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Machine Learning Engineer

Atlanta, Georgia, United States

About the Job

We are supporting a client in the Risk and Insurance industry in the search for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full-stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring.

You will be joining an innovative division of based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences.

What You'll Do:

  • Empower our team of data scientists to rapidly develop and deploy ML solutions.
  • Leverage software engineering best practices to create and deploy data-intensive and machine learning inference products.
  • Understand the data and dig deep to extract actionable insights.
  • Think creatively and outside the box to answer desired experimental questions as well as expose opportunities to create business value.
  • Work cross-functionally with marketing, engineering, product, senior management, and external partners.

What We Need:

  • 3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learning
  • Strong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI) & fluency with database technologies, SQL, and Python data packages
  • Demonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes.
  • Demonstrated experience with software engineering best practices, such as Test-Driven Development and continuous integration/deployment pipeline
  • Experience with ML-oriented data pipelining tools (dbt, Airflow, Prefect, DVC, etc.)

Unstoppable Qualities:

  • Experience in the insurance industry (strong fintech/lending experience will also be considered)
  • Experience with GitLab

Relocation assistance: Limited assistance