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Machine Learning Testing Jobs in Marietta, GA (NOW HIRING)

Cox Automotive

Machine Learning Lead Engineer

Redan, GA · On-site

$134K - $224K/yr

Use AI tools such as Claude Code to speed up coding, feature work, and testing * Build ML ... Machine Learning focused work * Skilled in analytical thinking, consulting, requirements work ...

Cox Automotive

Machine Learning Lead Engineer

Redan, GA · On-site

$134K - $224K/yr

Use AI tools such as Claude Code to speed up coding, feature work, and testing * Build ML ... Machine Learning focused work * Skilled in analytical thinking, consulting, requirements work ...

Cox Automotive

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

Use AI tools such as Claude Code to speed up coding, feature work, and testing * Build ML ... Machine Learning focused work * Skilled in analytical thinking, consulting, requirements work ...

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Machine Learning Testing information

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$13

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$29

How much do machine learning testing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for machine learning testing in Marietta, GA is $21.63, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $24.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Testing position, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What are popular job titles related to Machine Learning Testing jobs in Marietta, GA? For Machine Learning Testing jobs in Marietta, GA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Testing jobs in Marietta, GA look for? The top searched job categories for Machine Learning Testing jobs in Marietta, GA are:
Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing job openings in Marietta, GA as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $44,995 per year, or $21.6 per hour.
Machine Learning Lead Engineer

Machine Learning Lead Engineer

Cox Automotive

Stone Mountain, GA • On-site

$134K - $224K/yr

Full-time

PTO

Re-posted 8 days ago

Cox Automotive rating

7.6

Company rating: 7.6 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

109th of 148 rated financial services

Job description

Cox Automotive is hiring a Machine Learning Engineer Lead for the AI Accelerator team. The role spans three areas. The Lead builds and scales machine learning models across the company, from design through production, and brings deep skill in one area such as deep learning, generative AI, computer vision, optimization, or causal machine learning. The Lead also sets the model selection strategy for the team and owns AI governance policy, including bias checks, compliance tracking, and audit trails. The Lead builds evaluation systems that measure whether AI agents and models perform as expected, using the GenAI Eval Framework.
WHAT YOU'LL DO:
Key Responsibilities
  • Design, build, and maintain ML models, algorithms, and pipelines for training, inference, and production
  • Use AI tools such as Claude Code to speed up coding, feature work, and testing
  • Build ML infrastructure, monitoring, and documentation with engineering partners
  • Turn model results into business value, and share progress with stakeholders across teams
  • Coach teams on AI adoption, and lead AI transformation work, from tool testing to rollout
  • Track new advances in ML and AI, and publish or present findings through papers and talks
  • Design agent based workflows for training, data pipelines, and analysis, matched to team skill level

Model Selection & AI Governance Strategy
  • Own the Model Optimization pillar of the agentic AI framework, and set the model selection strategy for the team
  • Pick between Claude Haiku, Sonnet, and Opus based on task complexity, cost, and speed needs
  • Build clear rules for when to use each model, and document the reasoning for each choice
  • Track model cost across projects, and report spend to leadership
  • Own AI governance policy, including bias checks, compliance tracking, and audit trails
  • Work with legal and compliance teams to meet AI regulations
  • Report on AI risk and model use across the AI Accelerator portfolio

Evaluation Systems (Agentic AI Framework)
  • Build and run evaluation systems for AI agents using the GenAI Eval Framework (GEF)
  • Check answer correctness, task completion, tool selection, and context quality, not just the final output
  • Calibrate LLM as judge scores against human baselines through agreement analysis
  • Curate golden datasets with human labels and short critiques for each agent type
  • Compare evaluation runs before and after a prompt or model change, and flag quality shifts
  • Build synthetic conversations to test agents before they reach production
  • Watch for drift, and trace the root cause when agent quality moves away from baseline
  • Set standards for how teams test and approve new models before rollout, and own the hardest evaluation problems as the field matures

WHO YOU ARE:
Required Skills
  • Skilled in AI development tools (Claude, GPT- for ML work, with the skill to check AI output before production use
  • Understanding of agent frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns), from basic setup to custom enterprise design
  • Knowledge of AI ethics, responsible AI practice, and governance rules for business critical ML work
  • A steady habit of learning in AI augmented data science and responsible AI use
  • Skill in comparing AI models on cost, speed, and output quality, and matching each model to the task
  • Hands-on experience sourcing, deploying, and running open-source models in local or cloud environments
  • Ability to set up model serving infrastructure and get open-weight models running end to end (weights, dependencies, inference)
  • Skill in benchmarking open-source models against hosted/proprietary options on quality, cost, and latency to inform build-vs-buy decisions
  • Comfort fine-tuning, quantizing, or otherwise adapting open-source models to task and hardware constraints

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 field and 6 years of experience, or a master's degree and 4 years, or a Ph.D. and 1 year, or 14 years of experience with no degree
  • 6+ years' experience working in Machine Learning focused work
  • Skilled in analytical thinking, consulting, requirements work, system and technology integration, and comfort with new technology
  • Skilled in working with intent, clear communication, building trust, driving new ideas, and pushing for high quality work
  • Other duties as needed
  • A track record of leading new projects from idea to proof of concept
  • Deep skill in more than one ML area and knowledge of new research
  • Strong background in testing technology, studying competitors, and planning strategy
  • Proof of sharing knowledge through papers, talks, or similar work
  • Experience building and leading strong research or innovation teams
  • Strong communication skills for both technical and executive audiences
  • A strong network in the ML research community
  • Experience with research partnerships and joint work
  • Must live within a commutable distance to Atlanta

Preferred Qualifications
  • Experience in corporate research labs, innovation teams, or technology consulting
  • A record of finding and rolling out breakthrough technology
  • Background moving research into business use
  • A strong name in the ML community through talks or open source work
  • Knowledge of new areas such as LLMs, agents, foundation models, multimodal AI, or quantum ML

Leadership Expectations
  • Build a culture of testing, learning, and smart risk taking
  • Build agreement on research priorities while keeping speed high
  • Grow talent through mentoring in both technical skill and research method
  • Share complex results and their meaning with people at every level
  • Lead by example through curiosity, careful method, and open sharing
  • Connect new research to real business use
  • Build the team into a known center for ML experiments

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

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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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