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Machine Learning Manager Jobs in Georgia (NOW HIRING)

AEG Presents

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like ...

AEG

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like ...

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How much do machine learning manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning manager in Georgia is $68,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $78,100.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning executive or specialized researcher, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge tools and frameworks, and they are usually found in large tech companies or innovative organizations offering top-tier compensation.

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.

What is a machine learning manager?

A machine learning manager oversees teams developing and deploying machine learning models and algorithms. They coordinate projects, set strategic goals, and ensure technical quality, often requiring knowledge of data science, programming, and project management tools. Their role involves collaboration with data scientists, engineers, and stakeholders to implement AI solutions effectively.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

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.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, data analysis, and programming languages like Python or TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams. Roles requiring high-level strategic thinking, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to replicate fully.

What are Machine Learning Managers?

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 most commonly searched types of Machine Learning jobs in Georgia? The most popular types of Machine Learning jobs in Georgia are:
What are popular job titles related to Machine Learning Manager jobs in Georgia? For Machine Learning Manager jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Georgia look for? The top searched job categories for Machine Learning Manager jobs in Georgia are:
What cities in Georgia are hiring for Machine Learning Manager jobs? Cities in Georgia with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Senior Data Product Manager - Machine Learning

Senior Data Product Manager - Machine Learning

FanDuel

Atlanta, GA • On-site

$121K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

FanDuel rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

2nd of 15 rated gambling companies

Job description

THE POSITIONOur roster has an opening with your name on it
We are looking for a Product Manager to join our Data Products team within our Technology. This is a key role in a fast-paced environment working with teams and stakeholders across the business to drive the development and enhancement of our Data Science and Machine Learning products. In this role, you'll drive the evolution and adoption of our ML Platform, including experiment tracking, model lifecycle management, observability, and feature engineering capabilities that enable data scientists to build, deploy, and monitor models at scale. You'll also own the product strategy for ML-powered consumer applications - today focused on search relevance and ranking across the FanDuel product suite, with future scope expanding across personalization, recommendations, and beyond.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
  • You will take ownership of data products that deliver key insights into our business and drive future business decisions
  • Lead elicitation of requirements, in the form of user stories & acceptance criteria, prioritizing the product backlog to streamline the execution of program priorities
  • Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure our platform aligns with business objectives and delivers advanced machine learning solutions
  • Own the product roadmap for ML-powered consumer features, including search ranking, relevance tuning, and recommendation systems - translating business outcomes into model requirements and working backward from the user experience
  • Partner with Data Science, ML Engineering, and product teams to define and improve relevance signals, evaluation frameworks (offline metrics, A/B experiments, user feedback loops), and deployment criteria for consumer-facing ML features
  • Bring fresh ideas to the table when working to solve business problems, using your commercial understanding to generate innovative solutions
  • Create and maintain user guides, technical documentation, and best practices for the Machine Learning platform, including tooling for experiment tracking, model deployment, feature engineering, and observability
  • Monitor platform performance, model accuracy, and data quality. Identify and address issues to continuously improve platform efficiency
  • Play a key role within the PM community here at FanDuel, sharing your industry best practice and fostering a culture of knowledge sharing and cross-skilling

THE STATS
What we're looking for in our next teammate
  • 5-8 years of experience as a Product Manager, Product Owner, or Data Scientist delivering impactful data products, with a proven track record of successful project delivery and stakeholder satisfaction.
  • Experience working with data warehouse and data science technologies, including platforms such as Python, PySpark, Databricks, AWS, and MLflow ensuring efficient data processing and management.
  • Sufficient technical fluency in ML frameworks to partner effectively with ML engineers on model development and deployment requirements; hands-on experience is a plus
  • Expertise in using Databricks for scalable data engineering and machine learning workflows, leveraging its collaborative environment and optimized Spark clusters for accelerated development and deployment cycles.
  • Strong proficiency in SQL for querying and manipulating large datasets, combined with advanced programming skills in Python for data preprocessing, feature engineering, and model development tasks.
  • Hands-on experience with MLflow for experiment tracking, model registry, and model lifecycle management, including integration with Unity Catalog for centralized governance and versioning
  • Familiarity with ML observability and monitoring tools (e.g., Fiddler, Evidently AI, or similar platforms) for tracking model performance, detecting data drift, and ensuring model health in production environments
  • Extensive experience with feature stores, facilitating efficient feature management and reuse across machine learning models, enhancing model accuracy and reducing time-to-market for data-driven solutions.
  • Familiarity with data visualization tools sufficient to define requirements and review outputs
  • Exceptional analysis skills, with the ability to interpret complex datasets, identify meaningful patterns and trends, and derive actionable insights to inform product strategy and decision-making.
  • Proven experience conducting stakeholder interviews and facilitating stakeholder workshops, fostering open communication and collaboration to gather requirements, prioritize features, and align product roadmap with business objectives.
  • Proficient in translating product roadmap features into well-defined product requirements, including features, user stories, and acceptance test criteria, ensuring clear understanding and alignment across cross-functional teams.
  • Thrives in a fast-paced environment, adapting quickly to changing priorities while driving high standards and delivering value that meets or exceeds challenging goals.
  • Drives high standards for individual accomplishment and works to meet or exceed challenging goals, fostering a culture of excellence and continuous improvement within the product development team.
  • Is accustomed to working in a fast-paced environment, adapting quickly to changing priorities and requirements, while maintaining a focus on delivering value and driving outcomes for the organization.
  • Bachelor's degree in a relevant field preferred (Computer Science, Engineering, Business, or a related discipline). A Master's degree is a plus, providing additional depth and specialization in machine learning, data science, or related fields.

ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $138,000 - $173,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-Hybrid

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