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Machine Learning Defense Jobs in Georgia (NOW HIRING)

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

... defense presentations. * Leads the proposal development process, project pricing, and project ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

... defense presentations. * Leads the proposal development process, project pricing, and project ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

... highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence ... Develop electronic warfare and radar system concepts, signal processing and machine learning ...

TOOL MAKER 1

Ellabell, GA · On-site

$24.25 - $31.50/hr

Daniel Defense engineers and manufactures the world's finest weapon systems and accessories. Our ... Train as a machinist learning to set up and operate manual machines while building spare fixture ...

New

TOOL MAKER 1

Black Creek, GA

$24.25 - $31.50/hr

Train as a machinist learning to set up and operate manual machines while building spare fixture ... Daniel Defense is an Equal Opportunity Employer, including disability and protected veteran status ...

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Machine Learning Defense information

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

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

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

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

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

What cities in Georgia are hiring for Machine Learning Defense jobs?

Cities in Georgia with the most Machine Learning Defense job openings:

Infographic showing various Machine Learning Defense job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Director, AI Cyber Programs & Emerging Technology

Coca-Cola

Atlanta, GA • On-site

Full-time

Posted 10 days ago


Coca-Cola rating

7.6

Company rating: 7.6 out of 10

Based on 441 frontline employees who took The Breakroom Quiz

139th of 438 rated food and drinks producers


Job description

Job Description Summary:

Overview

The Senior Director, AI Cyber Programs and Emerging Technology leads The Coca-Cola Company's efforts to harness artificial intelligence for cyber defense while ensuring the Company's growing use of AI across the enterprise is secure, resilient, and responsibly deployed. This is a dual-mission role: accelerating AI adoption within the cybersecurity function and serving as the hands-on technical leader who partners with AI governance, Data & AI, and business units to safeguard the Company's AI investments.

Reporting to the Senior Director, Cyber Defense, this role builds and leads a specialized team of AI security and automation professionals. The Senior Director sets the technical direction for agentic security operations, AI-driven detection and response, and adversarial AI testing, while also scanning the horizon for emerging technology risks such as quantum computing, next-generation adversary tradecraft, and novel attack surfaces introduced by rapidly evolving technology platforms. The role requires equal comfortworking with senior leadership within the Companyand hands-on technical environments.

Key Responsibilities

AI-Enabled Cyber Defense

  • Define and execute the strategy for deploying AI and machine learning capabilities across the cybersecurity function, including agentic security operations, automated threat detection, intelligent triage, and AI-assisted vulnerability management.

  • Identify, evaluate, and pilot emerging AI technologies that can measurably improve the speed, accuracy, and coverage of cyber defense operations.

  • Partner with Cybersecurity Operations, Threat Intelligence, and Security Engineering teams to embed AI capabilities into existing workflows and tooling.

  • Establish metrics and feedback loops to measure the effectiveness of AI-driven security capabilities and continuously improve them.

Enterprise AI Security

  • Serve as the senior technical advisor on securing the Company's use of AI, including large language models, machine learning pipelines, agentic AI systems, and third-party AI-enabled products.

  • Partner with AI Risk & Governance, Legal, Privacy, and Data & AI to translate governance policies into hands-on technical controls and security requirements.

  • Lead technical assessments of AI systems for risks including prompt injection, data poisoning, model exfiltration, training data leakage, and adversarial manipulation.

  • Develop andmaintainsecurity standards, reference architectures, and guardrails for the secure development and deployment of AI systems across the enterprise.

Adversarial AI Testing Program

  • Oversee the Company's AI red team capability, ensuring systematic adversarial testing of AI models, AI-enabled applications, and AI infrastructure before and after deployment.

  • Ensure testing methodologies align with industry frameworks such as NIST AI Risk Management Framework, MITRE ATLAS, and OWASP Top 10 for LLMs.

  • Coordinate with external partners, consultants, and bug bounty programs for specialized AI security assessments as needed.

Emerging Technology Risk

  • Monitor the technology landscape for emerging risks and opportunities, including quantum computing readiness, post-quantum cryptography, novel adversary techniques, and new attack surfaces introduced by evolving enterprise technology.

  • AdviseCyber Defense leadership and the CISO on the security implications of emerging technology trends and recommend proactive measures.

  • Represent the Company's cybersecurity perspective in cross-functional emerging technology forums and industry working groups.

People Leadership & Team Development

  • Build, lead, and develop a high-performing team of AI security and automation professionals.

  • Set clear performance expectations, provide regular coaching and feedback, and create career development paths for team members.

  • Foster a culture of innovation, technical excellence, and continuous learning within the team.

  • Managegoals,objectives,vendor relationships, and resource planning for the AI Cyber Programs function.

Qualifications

  • Minimum 12-15 years of progressive cybersecurity experience, with at least 5 years in leadership roles and significant hands-on experience applying AI and machine learning to security operations.

  • Demonstrated experience building and deploying AI-driven security capabilities in a large, complex enterprise environment, including agentic AI, automated detection and response, or AI-assisted threat analysis.

  • Strong technical understanding of AI and machine learning fundamentals, including large language models, ML pipelines, agentic frameworks, prompt engineering, and adversarial AI techniques.

  • Working knowledge of AI security risks, including prompt injection, data poisoning, model inversion, training data extraction, and supply chain risks in AI/ML toolchains.

  • Familiarity with AI governance and risk frameworks such as NIST AI RMF, ISO/IEC 42001, MITRE ATLAS, and OWASP Top 10 for LLMs.

  • Experience with emerging technology risk assessment, including quantum computing implications for cryptography and security.

  • Strong executive presence with the ability to translate complex technical topics into clear, actionable language for senior leadership and cross-functional partners.

  • Track recordof building and leading technical teams, including hiring, mentoring, and developing talent in a fast-moving domain.

  • Relevant certifications such as CISSP, CISM, GIAC (any), or AI-specific credentials (e.g., IAPP AIGP) are preferred.

Education

  • Bachelor's degree in Computer Science, Cybersecurity, Engineering, Data Science, or related technical fieldrequired.

  • Master's degree in a relevant discipline, or equivalent professional experience and certifications, highly desirable.

Reporting Relationship

Reports to the Senior Director, Cyber Defense, within the Chief Information Security Office (CISO) organization.

Direct reports include the Cyber AI Automation Engineer and the AI Red Team Senior Manager, with the team expected to grow as the program matures.

Location

Atlanta, GA (Global Headquarters)
Relocationassistanceavailable for qualified candidates.

Travel

Estimated up to 10%travel, primarily domestic, with occasional travel for industry conferences, vendor engagements, and cross-functional working sessions.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills:

Pay Range:

United States of America: 202,000 USD - 229,000 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

30

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

August 14, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Visionto learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

What Coca-Cola employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Coca-Cola logo

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