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Machine Learning Manager Jobs in Stockbridge, GA

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Experience with vector databases to efficiently manage and retrieve embeddings for LLM applications ...

AppFolio

Sr. Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

We're transforming Property Management; how property managers operate, how residents live, and how ... Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ...

Coca-Cola HBC

Senior Machine Learning Architect

Atlanta, GA · On-site

$164 - $193/hr

Develop, manage, and maintain end‑to‑end (E2E) AI/ML and analytic solutions from ideation ... Strong aptitude for learning and applying new technologies related to Data Science and Data ...

New

Omaze

Staff Machine Learning Engineer - Search

Atlanta, GA · On-site

$159 - $208.95/hr

As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our ... as a manager - both providing equal opportunities for compensation and advancement * Operate as ...

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... A career built on building zero defect homes, cost management, and adherence to schedules. Your ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Stockbridge, GA

Machine Learning Manager information

See Stockbridge, GA salary details

$43.5K

$69.7K

$100.6K

How much do machine learning manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning manager in Stockbridge, GA is $69,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $78,900.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

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

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

What job categories do people searching Machine Learning Manager jobs in Stockbridge, GA look for?

The top searched job categories for Machine Learning Manager jobs in Stockbridge, GA are:

What cities near Stockbridge, GA are hiring for Machine Learning Manager jobs?

Cities near Stockbridge, GA with the most Machine Learning Manager job openings:

Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Stockbridge, GA as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $69,678 per year, or $33.5 per hour.

Platform Engineer Machine Learning (Utah)

Crew Career Center

Atlanta, GA

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago

Job description

ABOUT THIS POSITION

We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

WHAT YOU'LL DO

Responsibilities:

  • Developand enhance the machine learning platform to manage the full model life cycle

  • Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models,supportscalablereal-time predictions in production

  • Design and implementdata engineering solutionsformodel training

  • Expand NLP capabilities with advanced analysis techniques to improve text understanding

  • Design and implementhigh-performance, scalable services and applications

  • Collaborate with team members to create integrated solutions and ensuretimelydelivery of quality software and documentation

  • Understandand adhere to development standards for consistency across teams

  • Performin-depthtechnical and performance analyses to troubleshoot production issues

  • Monitor andmaintainproduction systemsfor reliability and efficiency

WHAT YOU'LL NEED

  • MinimumRequirements (Education,certificationsand experience):

  • Bachelor's degree in Computer Scienceor related area,Masters preferred

  • 7+ years of professional experience writing Pythonor Javacode,with at least 3 years building data platforms

  • Expertproficiencywith SQL

  • NLP

  • Seasoned practitioner of engineering best practices such asCI/CD and automated testing

  • Comfort working in a Linux environment

  • Passion for exploring,applyingand following the evolution ofcutting edgetechnologies related to AI, machine learning, NLP andlarge scaledata processing

  • Professional experience withMLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures

  • Experience with public cloud solutions, such as AWS orGCP

  • Proventrack recordof successful delivery of progressively complex technical projects

  • Coaching and mentoring junior engineers in the team

  • Team player DNA with a positive, self-starter attitude

  • Attention to detail, highly organized, with an absolute focus on quality of work

Preferred Requirements:

  • Familiarity withClearML, Triton,PyTorch, and TensorFlow

  • Familiarity with statistics and healthcare domain

  • Provenexpertisein successful large project/build management and execution

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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