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Head Of Machine Learning Jobs in Georgia (NOW HIRING)

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

... of the live poultry operations cycle. We provide our customers with solutions in Business ... Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our ...

Showing results 41-60

Head Of Machine Learning information

See Georgia salary details

$20.7K

$53.9K

$92K

How much do head of machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for head of machine learning in Georgia is $53,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,200.00 and $63,300.00 per year, depending on experience, location, and employer.

What does a head of machine learning do?

A Head of Machine Learning leads the development and implementation of machine learning strategies within an organization. They oversee data science teams, manage AI-driven projects, and ensure models are scalable and aligned with business needs. This role requires expertise in machine learning, software engineering, and leadership to drive innovation and improve decision-making through data.

What are the key skills and qualifications needed to thrive as a head of machine learning?

To thrive as a Head Of Machine Learning, you need deep expertise in machine learning algorithms, statistical modeling, and data analysis, usually supported by an advanced degree in computer science or a related field. Familiarity with Python, TensorFlow, PyTorch, cloud computing platforms, and relevant certifications (like AWS Certified Machine Learning) is highly beneficial. Strong leadership, strategic thinking, and communication skills set exceptional candidates apart by enabling effective team management and cross-departmental collaboration. These skills are crucial to drive innovation, deliver impactful projects, and steer organizational AI strategies successfully.

What are some typical challenges faced by a head of machine learning, and how can I prepare for them?

As a Head Of Machine Learning, you’ll often face challenges such as aligning machine learning initiatives with business objectives, managing a diverse technical team, and ensuring the scalability and reliability of solutions. Preparing for these involves staying updated on the latest AI trends, developing strong project management skills, and fostering a culture of knowledge sharing within your team. Additionally, you may need to bridge communication gaps between technical staff and non-technical stakeholders, so clear communication is vital. By proactively addressing these areas, you’ll be better equipped to lead successful machine learning operations and drive significant business value.

Is a Head of Machine Learning a high paying job?

A Head of Machine Learning is typically a high-paying role due to its seniority and specialized expertise in AI, data science, and leadership. Salaries often reflect experience, industry, and company size, with many earning well above average tech salaries, especially in competitive markets.

What are popular job titles related to Head Of Machine Learning jobs in Georgia?

For Head Of Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Head Of Machine Learning jobs in Georgia look for?

The top searched job categories for Head Of Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Head Of Machine Learning jobs?

Cities in Georgia with the most Head Of Machine Learning job openings:

Infographic showing various Head Of Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $53,924 per year, or $25.9 per hour.

Summer 2027 Intern - Machine Learning Engineering

On-site, Remote

Workiva
Software Development • 1 - 5K employees

$40/hr

Full-time, Temporary, Internship

Retirement

Posted 10 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


What Workiva employees say

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