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Machine Learning Ai Developer Jobs in Georgia (NOW HIRING)

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Atlanta, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Pine Lake, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Doraville, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Tucker, GA

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Tucker, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Vinnings, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox

Machine Learning Lead Engineer

Atlanta, GA

$98K - $129K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

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Machine Learning Ai Developer information

How much do machine learning AI developers make?

Machine Learning AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries. Many positions also require proficiency in programming languages like Python and experience with frameworks such as TensorFlow or PyTorch.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and often involve managing large teams or strategic projects.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What engineers make $500,000?

Senior machine learning and AI engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on business outcomes.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and AI system trainers. These jobs involve tasks that are difficult to automate fully and often require domain expertise, critical thinking, and ethical judgment. Continuous learning and staying updated with AI tools and frameworks are essential for long-term career resilience.
What are popular job titles related to Machine Learning Ai Developer jobs in Georgia? For Machine Learning Ai Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai Developer jobs in Georgia look for? The top searched job categories for Machine Learning Ai Developer jobs in Georgia are:
What cities in Georgia are hiring for Machine Learning Ai Developer jobs? Cities in Georgia with the most Machine Learning Ai Developer job openings:
    Machine Learning Ai Developer jobs near you
    Machine Learning Lead Engineer

    Machine Learning Lead Engineer

    Cox Automotive

    Riverdale, GA

    $134K - $224K/yr

    Full-time

    PTO

    Posted 14 days ago

    Cox Automotive rating

    7.8

    Company rating: 7.8 out of 10

    Based on 134 frontline employees who took The Breakroom Quiz

    89th of 138 rated financial services

    Job description

    We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting-edge research with the responsibility of building a culture of continuous learning and knowledge sharing. You'll lead efforts to identify, evaluate, and prototype emerging ML technologies while establishing our company as a thought leader in the ML community. Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems, and models for big data predictive applications. Develops AI/ML-powered solutions based on business needs. Researches, implements, and tests machine learning methods to create product features, automate workflows, extract insights from data, and improve data quality. Structures, trains, and deploys models to learn from complex data across multiple modalities (e.g., structured, unstructured, image, video, audio) to uncover patterns and develop practical solutions. Possesses deep knowledge in at least one sub-area of machine learning, such as deep learning, generative AI, computer vision, optimization, predictive models, or causal machine learning.
    WHAT YOU'LL DO
    Key Responsibilities
    • Accelerate ML development using AI tools for code generation, feature engineering, optimization, and validation
    • Stay up to date with advancements in ML, AI, and emerging technologies
    • Design, build, and maintain ML models, algorithms, and robust pipelines for data processing, training, and inference
    • Optimize model performance, scalability, and reliability in production environments
    • Collaborate cross-functionally to translate model insights into business value and communicate project updates
    • Contribute to ML infrastructure improvements, best practices, and documentation
    • Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.
    • Establish AI governance practices including bias detection, interpretability, compliance monitoring, and responsible deployment.
    • Mentor teams in AI adoption, share best practices, and promote responsible AI innovation culture.
    • Lead AI transformation initiatives including tool evaluation, governance development, and strategic adoption planning.
    • Analyzes complex data sets to solve real-world business and customer use cases.
    • Performs end-to-end development of machine learning models
    • May assist with or lead the development of industry whitepapers or other technical publications.
    • Continuously evaluate AI processes for accuracy, efficiency, and business impact while staying current on emerging technologies.
    • Design agentic workflows for autonomous training, data pipelines, and analytical problem solving appropriate to experience level.

    Key AI Use Cases
    • AI-Accelerated Model Development: Use GitHub Copilot, Claude Code for rapid ML prototyping, automated feature engineering, and intelligent hyperparameter optimization.
    • Agentic ML Workflows: Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training pipelines, multi-step analysis, and collaborative research.
    • AI-Enhanced Model Interpretation: Build on traditional frameworks (SHAP, LIME) with AI tools for enhanced stakeholder communication and automated insights.
    • AI-Powered Research: Leverage manual/autonomous competitive intelligence and research acceleration tools for methodology discovery and algorithm innovation.

    WHO YOU ARE
    Required Skills
    • Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
    • Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
    • Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
    • Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
    • Commitment to continuous learning in AI-augmented data science and responsible AI use.

    Required Qualifications
    • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
    • Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
    • Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
    • Deep expertise in multiple ML domains and familiarity with emerging research areas
    • Strong experience in technology evaluation, competitive analysis, and strategic planning
    • Comfortability with non-deterministic systems
    • Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
    • Experience in Rally, Jira or similar tools
    • Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
    • Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
    • Proven track record of leading innovative projects from concept to proof-of-concept
    • Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
    • Experience building and leading high-performing research or innovation teams
    • Excellent communication skills for technical and executive audiences
    • Strong network within the ML research community
    • Experience with research collaboration and partnership development
    • Other duties as needed or required
    • Must be comfortable with change and an evolving environment

    Preferred Qualifications
    • Experience in corporate research labs, innovation teams, or technology consulting
    • Track record of identifying and successfully implementing breakthrough technologies
    • Background in technology transfer from research to business applications
    • Strong presence in the ML community (conference speaking, open-source contributions, etc.)
    • Knowledge of emerging areas such as LLMs, Agents, foundation models, multimodal AI, or quantum ML

    Leadership Expectations
    • Foster a culture of experimentation, learning, and calculated risk-taking
    • Drive consensus on research priorities while maintaining innovation velocity
    • Develop talent through mentoring in both technical skills and research methodologies
    • Communicate complex experimental results and strategic implications to all organizational levels
    • Lead by example in intellectual curiosity, scientific rigor, and knowledge sharing
    • Build bridges between cutting-edge research and practical business applications
    • Establish the team as a recognized center of excellence in experimental ML

    USD 134,900.00 - 224,900.00 per year
    Compensation:
    Compensation includes a base salary in the range of $134,900.00 - $224,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
    Benefits:
    The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
    EOE, including disability/vets

    What Cox Automotive employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

    Cox Automotive logo

    About Cox Automotive

    Sourced by ZipRecruiter

    At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

    Industry

    Automobile dealers and technology, communication and media

    Company size

    5,001 - 10,000 Employees

    Headquarters location

    Atlanta, GA, US

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