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Director Machine Learning Jobs in Atlanta, GA (NOW HIRING)

STR

Principal Signal Processing Researcher

Atlanta, GA · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning ... Direct Modeling and Simulation activities of advanced RF systems in support of algorithm ...

STR

Lead Signal Processing Researcher

Atlanta, GA · On-site

$173K - $216K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning ... Direct Modeling and Simulation activities of advanced RF systems in support of algorithm ...

Deluxe

Data Scientist

Atlanta, GA

$85K - $90K/yr

This position requires a strong command of statistical techniques and machine learning algorithms ... direct your inquiries to deluxecareers@deluxe.com.

Deluxe Corporation

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

This position requires a strong command of statistical techniques and machine learning algorithms ... direct your inquiries to deluxecareers@deluxe.com

Emory University

Post Doctoral Researcher

Atlanta, GA

$112K/yr

Experience with human electrophysiology Experience with machine learning algorithms Apply by ... Inquiries regarding this policy should be directed to the Emory University Department of Equity and ...

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Director Machine Learning information

See Atlanta, GA salary details

$34.7K

$88.5K

$135.8K

How much do director machine learning jobs pay per year?

As of Aug 30, 2026, the average yearly pay for director machine learning in Atlanta, GA is $88,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $102,100.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Atlanta, GA?

The most popular types of Machine Learning jobs in Atlanta, GA are:

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

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

What job categories do people searching Director Machine Learning jobs in Atlanta, GA look for?

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

What cities near Atlanta, GA are hiring for Director Machine Learning jobs?

Cities near Atlanta, GA with the most Director Machine Learning job openings:

    Director Machine Learning jobs near you
    Infographic showing various Director Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $88,407 per year, or $42.5 per hour.

    Data Scientist - AI/ML (Atlanta, GA)

    Atlanta, GA • On-site

    Spartan Technologies, Inc.
    IT Services • 11 - 50 employees
    Learn more about Spartan Technologies, Inc.external

    Full-time

    Re-posted 15 days ago

    Job description

    We are seeking a Data Scientist who will be responsible for supporting predictive analytic initiatives that empower business decisions and is available for a direct hire/permanent role. The locations for this role are Atlanta, GA, FL, KS, LA, MS, OK, PA or TX. We are not seeking candidates who require relocation at this time. Also, we will consider candidates who are residents in Texas as well. This is a remote position.
    Oil or Gas Industry experience is highly preferred for this role.
    This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Scientist is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
    The Data Scientist will be a key member of the Data and Analytics Platform Services team. This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Azure Data Lake Store. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads.
    Responsibilities:
    • Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
    • Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
    • Work cross-functionally with finance, operations, and field engineering teams on opportunities for improved insights.
    • Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models.
    • Explore large datasets using modeling, analysis, and visualization techniques.
    • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
    • Ability to mentor, coach, and lead others.
    • Contribute to and help build ML/AI vision to support business strategy.
    Required Knowledge, Skills, Abilities (Qualifications):
    • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
    • 7 years of experience applying data science, AI/machine learning, and analytics techniques to business problems.
    • Experience leading data science projects.
    • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
    • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems.
    • Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
    Preferred Knowledge, Skills, Abilities:
    • It is considered a plus to have knowledge and working experience in any of the following areas: Oil and Gas use cases for predictive analytics.
    Travel Requirements: 10%
    Position Location: Open

    Apply