1

Machine Learning Manager Jobs in Georgia (NOW HIRING)

Machine Learning Engineering Manager

Atlanta, GA · On-site

$148.50K - $266.20K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team ...

Machine Learning Engineering Manager

Atlanta, GA · On-site

$148.50K - $266.20K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team ...

Senior Machine Learning Engineer

Atlanta, GA

$117.80K - $155.30K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Collaborate with AI Product Managers across the Insights BU and partner business units (Provider ...

next page

Showing results 1-20

Machine Learning Manager information

See Georgia salary details

$43.1K

$69K

$99.6K

How much do machine learning manager jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning manager in Georgia is $68,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $78,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Georgia? The most popular types of Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Machine Learning Manager jobs? Cities in Georgia with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in Georgia as of May 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 51% Physical, 5% Hybrid, and 44% Remote job distribution, with an average salary of $68,993 per year, or $33.2 per hour.
Machine Learning Engineer

Other

Posted 16 days ago


Job description

Job Description Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies.

Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team What Are We Looking For in This Role. Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field.

5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience with one or more of the following technologies: --Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. --ML Technologies: NLP, Computer Vision and related technologies.

--Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker - Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Minimum Qualifications Bachelor's Degree Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field Typically Minimum 6 Years Relevant Exp Four-year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development