Machine Learning Engineer (Zelus Analytics) - Global Remote

Remote (United States)

Apply now Apply later

Teamworks, the Operating System for Sports™, powers more than 6,500 sports organizations worldwide, including collegiate athletic departments and teams across all major professional leagues. With almost 500 exceptional employees located across over a dozen countries, Teamworks’ software solutions drive the operations of the most recognizable sports properties in the world.


Zelus Analytics, now part of Teamworks, is a premier sports intelligence platform that partners with teams across the NBA, MLB, NFL, IPL, NHL, and European football leagues. As a key component of Teamworks, Zelus continues to deliver cutting-edge analytics, empowering these organizations with advanced data insights to enhance performance, strategy, and decision-making. The platform integrates comprehensive sports data, enabling teams to gain a competitive edge through rich analysis and innovative solutions tailored to their specific needs.


We are seeking a passionate and highly skilled Machine Learning Engineer to join our Analytics team. This role is crucial in advancing our market-leading sports intelligence platform, helping professional teams across various sports leverage cutting-edge machine learning models to compete at the highest levels. Your work will directly impact our exclusive network of partners as they strive to win championships.


This is a fantastic opportunity to be at the forefront of sports analytics technology and to contribute to the ongoing success and rapid expansion of one of the fastest-growing companies in sports tech.


Responsibilities:

  • Optimize, automate, and validate quantitative models using machine learning, statistics, optimization, and simulation techniques.
  • Develop, schedule, monitor, and maintain robust model training and prediction workflows to ensure optimal performance.
  • Collaborate with the broader engineering team to implement infrastructure changes that support one or more sports within our platform.
  • Deploy REST APIs on top of fitted models, utilizing distributed computation to enable real-time integration with client-facing applications.
  • Work closely with data scientists to define and manage the productionalization of models and the release of platform updates.
  • Develop and maintain abstractions for model deployment, ensuring workflows run efficiently and are easily adaptable to future use cases.
  • Assess, provision, monitor, and maintain the appropriate infrastructure and tooling to execute model training and prediction workflows.
  • Create visualizations using dashboards or application development frameworks to deliver data insights to our clients.
  • Collaborate and communicate effectively in a distributed work environment, contributing to a dynamic and innovative team.
  • Engage in rotating platform support duties, ensuring the reliability and performance of our machine learning systems.


Requirements:

  • Demonstrated experience in software design and development, with a strong foundation in machine learning, statistics, optimization, and simulation.
  • Hands-on experience developing and deploying machine learning models in cloud-based environments, with distributed computing expertise.
  • Fluency in Python (preferred), with experience in R or other statistical programming languages. 
  • Familiarity with front-end development languages such as Javascript or Typescript, along with UI frameworks like React or Vue, is a plus.
  • Proficiency in working with relational databases and SQL, optimizing data management in large-scale systems.
  • Experience working with Linux servers in virtualized or distributed environments, ensuring stable and secure operations.
  • Strong problem-solving skills, with the ability to adapt to evolving technical landscapes and workflows.


Desired Traits:

  • Takes initiative, proactively manages multiple priorities, and works well under pressure.
  • Analytical, creative thinker, and strategic problem-solver.
  • Delivers fast but carefully thought-out, high-quality results.
  • Structured, organized, and efficient work style.
  • Factual, direct communication style.
  • Experience working asynchronously with coworkers across different time zones.
  • Interested in managing engineers and leading high-performing teams as a potential career progression.
  • Aligned with our core values: honesty, humility, hard work, commitment, innovation, and exceptionalism.


What Teamworks offers:

  • A role in shaping the future of sports and a career that grows as the company grows.
  • An exceptional culture of high achievement and teamwork.
  • Supportive and humble colleagues who are some of the top problem solvers and innovators in the game.
  • Financial security through competitive compensation and incentives.
  • A comprehensive benefits plan, including medical, dental, vision, disability, life insurance, paid time off, and a retirement/pension contribution plan.
  • Additional educational opportunities via Range can be used for courses, conferences, and other options.
  • Company equity.     
  • 100% remote-optional work setting.


Founded in 2006, Teamworks has grown from a messaging platform for collegiate football into the leading operating system for elite sports organizations, providing comprehensive technology solutions. Having secured over $165M in funding across five rounds, our product suite now features six key categories to support every phase of the athlete lifecycle. Our Operations solutions streamline logistics, communication, and inventory management with products like Hub, Camps, and Inventory Management. Performance tools such as AMS+EMR and Nutrition enhance athlete care through health analytics and personalized nutrition. Compliance is managed through our robust Compliance + Recruiting platform. Recruiting efforts are bolstered by Recruiting and Recruiting Communications. Athlete Development is supported by Academics, Pathways, and Pulse, which focus on academic success, programming tracking, and safety. Our Branding & NIL solutions, including Influencer and Collectives, navigate the NIL era and engage fans effectively. Additionally, Zelus Analytics, our premier sports intelligence platform, provides cutting-edge data insights to teams across multiple leagues, enhancing performance and decision-making through advanced analytics. Our continued innovation and integration make us the premier tech provider for top-tier athletic and tactical organizations.


Our offices in Durham, Denver, Richmond, and Brisbane are open for work, collaboration, and optional team-building events – but as a remote-first company, we also have teammates working from places across the globe, including New York, London, Perth, and Austin.


Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics.  This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email hiring@teamworks.com.


To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamwork employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0

Tags: APIs Data management Engineering JavaScript Linux Machine Learning ML models Model deployment Model training Python R RDBMS React Security SQL Statistics TypeScript Vue

Perks/benefits: Career development Competitive pay Conferences Equity / stock options Flex vacation Health care Insurance Team events

Regions: Remote/Anywhere North America
Country: United States

More jobs like this