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Flexible Machine Learning Jobs in Decatur, GA (NOW HIRING)

... truly flexible to support where, when, and how you do your best work. Dolby's consumer ... Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ...

... truly flexible to support where, when, and how you do your best work. Dolby's consumer ... Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ...

Production lines vary in heavy industrial machinery equipment; the operator's technical skills will ... Flexible work environment, depending on your role * Meaningful opportunities to keep learning and ...

Production lines vary in heavy industrial machinery equipment; the operator's technical skills will ... Flexible work environment, depending on your role * Meaningful opportunities to keep learning and ...

Production lines vary in heavy industrial machinery equipment; the operator's technical skills will ... Flexible work environment, depending on your role * Meaningful opportunities to keep learning and ...

Production lines vary in heavy industrial machinery equipment; the operator's technical skills will ... Flexible work environment, depending on your role * Meaningful opportunities to keep learning and ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

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Flexible Machine Learning information

See Decatur, GA salary details

$24.9K

$41.6K

$85.9K

How much do flexible machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for flexible machine learning in Decatur, GA is $41,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle some tasks, MLEs are essential for creating complex models, interpreting results, and ensuring ethical implementation. AI may automate certain routine aspects, but the role of MLEs remains critical for innovation and system optimization in AI development.

What is the difference between Flexible Machine Learning vs Data Scientist?

AspectFlexible Machine LearningData Scientist
CredentialsTypically requires knowledge of machine learning, programming, and data analysis; certifications like AWS, Google Cloud are commonRequires degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentOften in tech companies, startups, or consulting firms; involves building adaptable ML modelsIn various industries including finance, healthcare, and tech; focuses on data analysis and insights
Industry UsageUsed in AI development, automation, and predictive modelingApplied in business analytics, research, and strategic decision-making

Flexible Machine Learning professionals focus on developing adaptable ML models across diverse applications, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary focus and industry usage differ slightly.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-demand industries or at large tech companies can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Which 3 jobs will survive AI?

Flexible Machine Learning roles such as data scientists, machine learning engineers, and AI specialists are expected to persist as they require complex problem-solving, domain expertise, and ongoing adaptation that AI cannot fully replicate. These jobs often involve designing, implementing, and maintaining AI systems, which demand advanced skills in programming, statistics, and critical thinking. Continuous learning and proficiency with tools like Python, TensorFlow, or cloud platforms are essential for these roles to remain relevant.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in large tech companies or specialized AI firms.
What are the most commonly searched types of Machine Learning jobs in Decatur, GA? The most popular types of Machine Learning jobs in Decatur, GA are:
What are popular job titles related to Flexible Machine Learning jobs in Decatur, GA? For Flexible Machine Learning jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Flexible Machine Learning jobs in Decatur, GA look for? The top searched job categories for Flexible Machine Learning jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Flexible Machine Learning jobs? Cities near Decatur, GA with the most Flexible Machine Learning job openings:
Senior Data Science Manager, Growth & Retention Marketing

Senior Data Science Manager, Growth & Retention Marketing

PrizePicks

Atlanta, GA โ€ข On-site, Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

hackajob is collaborating with PrizePicks to connect them with exceptional professionals for this role.

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? 

The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments.  As Senior Data Science Manager, Growth & Retention Marketing, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making.

What youโ€™ll do:

  • Lead a team of data scientists, covering topics across retention and acquisition marketing
  • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
  • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
  • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
  • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
  • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
  • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals

What you have:

  • 7+ years of experience in data science & analytics
  • 5+ years of experience in a marketing, customer, or revenue data-related role
  • 3+ years of experience managing or mentoring data scientists, analysts, or engineers
  • Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred
  • Proven experience in building and implementing production-grade machine learning models in an operations support capacity
  • Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
  • Exceptional communicator, with experience presenting to senior leadership
  • Ability to influence cross-functional partners (Marketing, Finance, Product)
  • Comfortable balancing hands-on work with team leadership
  • Technical Skills
    • Strong statistical proficiency
    • Python for statistical computing, model development, and data visualization
    • Advanced SQL

Where youโ€™ll live:

  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. Weโ€™re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 5/11/2026

Benefits youโ€™ll receive:

In addition to your great compensation package, full-time employees will be eligible for the following perks: 

  • Company-subsidized medical, dental, & vision plans 
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S.  We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

PrizePicks is an Equal Opportunity Employer.  All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.