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Sports Learning Complex Jobs (NOW HIRING)

Staff Machine Learning Engineer

Atlanta, GA ยท On-site +1

$220K - $280K/yr

Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection. * Background in Daily Fantasy Sports (DFS), oddsmaking, or ...

Studio Operations Intern - College Credit

New York, NY ยท On-site

$16.75 - $22/hr

Through innovative content, Complex tells stories of music, streetwear and style, sports, art and ... You'll work closely with our team, contributing to meaningful projects while learning the ins and ...

Apply advanced architectural concepts to projects, including complex assignments requiring new or ... Provide technical guidance to less experienced staff, fostering a collaborative learning ...

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Sports Learning Complex information

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How much do sports learning complex jobs pay per hour?

As of May 29, 2026, the average hourly pay for sports learning complex in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.

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

To thrive as a Sports Complex Manager, you need expertise in facility operations, event coordination, and a background in sports management or recreation, often supported by a relevant degree. Familiarity with facility management systems, scheduling software, and safety regulations is typically required. Strong leadership, communication, and customer service skills help in managing staff and ensuring a positive experience for guests. These abilities are crucial for smooth facility operations, effective team leadership, and delivering high-quality services to patrons.

What are the typical responsibilities and team dynamics for employees working at a Sports Learning Complex?

Employees at a Sports Learning Complex often manage a blend of instructional, administrative, and facility-related tasks. Typical responsibilities may include coaching or training athletes, organizing classes or leagues, maintaining equipment, and ensuring a safe, welcoming environment for participants of all ages. Teamwork is crucial, as staff frequently collaborate with instructors, facility managers, and customer service personnel to deliver high-quality programming and address any issues that arise. The work environment tends to be dynamic and energetic, with opportunities to develop leadership skills and advance into supervisory or program management roles.

What is a Sports Learning Complex?

A Sports Learning Complex is a specialized facility designed to provide education, training, and resources for a variety of sports and athletic activities. These complexes often include classrooms, training centers, gyms, and fields or courts for hands-on practice. Their primary goal is to support athletes, coaches, and students in developing their skills, understanding sports science, and promoting healthy lifestyles. Sports Learning Complexes may also host workshops, clinics, and community events to encourage participation in sports.

What is the difference between Sports Learning Complex vs Sports Coach?

AspectSports Learning ComplexSports Coach
CredentialsTypically requires certifications in sports management, facility operations, or related fieldsRequires coaching certifications, CPR, and sometimes sport-specific licenses
Work EnvironmentOperates sports facilities, manages programs, and oversees operationsWorks directly with athletes or teams, providing training and strategy
Employer & IndustrySports complexes, recreation centers, educational institutionsSports teams, schools, private clubs

While both roles are involved in sports, a Sports Learning Complex focuses on managing sports facilities and programs, whereas a Sports Coach works directly with athletes to improve their skills. Understanding these differences helps in choosing the right career path or job search focus.

More about Sports Learning Complex jobs
What cities are hiring for Sports Learning Complex jobs? Cities with the most Sports Learning Complex job openings:
What states have the most Sports Learning Complex jobs? States with the most job openings for Sports Learning Complex jobs include:
What job categories do people searching Sports Learning Complex jobs look for? The top searched job categories for Sports Learning Complex jobs are:
Infographic showing various Sports Learning Complex job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 48% Full Time, 37% Part Time, 4% Temporary, and 7% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

PrizePicks

Atlanta, GA โ€ข On-site, Remote

$220K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

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?
As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.
What you'll do:
  • Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.
  • Real-Time Inference at Scale: Steer the design and deployment of low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
  • Feature Engineering & Data Strategy: Partner with Data Science to build scalable logging and data pipelines. You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
  • End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantly.
What you have:
  • 7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments.
  • 3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platforms.
  • Experience with Real-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
  • MLOps Expertise: Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, Databricks, or SageMaker.
  • Strong Coding Skills: Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layers.
  • Cloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents.
What makes you stand out:
  • Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection.
  • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
  • Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.
Where you'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 $220,000 to $280,000. 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. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 4/16/2026
Benefits you'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.