Machine Learning Engineer
Zynga
Date: 22 hours ago
City: Toronto, ON
Contract type: Full time
Who We Are
Zynga is a global leader in interactive entertainment with a mission to connect the world through games and a wholly-owned subsidiary of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). With massive global reach in more than 175 countries and regions, the combined diverse portfolio of popular game franchises has been downloaded more than 6 billion times on mobile, including Star Wars: Hunters, CSR Racing, Dragon City, Empires & Puzzles, FarmVille, Golf Rival, Hair Challenge, Harry Potter: Puzzles & Spells, High Heels!, Merge Dragons!, Merge Magic!, Monster Legends, Toon Blast, Top Eleven, Toy Blast, Two Dots, Words With Friends, and Zynga Poker.Founded in 2007, Zynga is headquartered in California with locations in North America, Europe, and Asia. For more information, visit www.zynga.com or follow Zynga on Twitter, Instagram, Facebook, or the Zynga blog
Position Overview
Interested in creating great products that impact millions of people? Building high performance systems that rely on big data and machine learning? Want to solve complex large scale technical problems using the latest technologies? Zynga is seeking a Machine Learning Engineer to join the Platform Machine Learning team in our Analytics organization based out of our Toronto office!
Zynga is a global leading player in creating fun, engaging games that connect the world together. Our team in Zynga Analytics Engineering is composed of talented individuals who are dedicated to pushing the boundaries of what machine learning algorithms are possible to help in Zynga. We are seeking a Machine Learning Engineer to join our team and help us make large-scale impact across all Zynga’s games.
What You'll Do
As a Machine Learning Engineer, you will be responsible for
Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site
We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.
As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at [email protected] to request any accommodations or for support related to your application for an open position.
Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
Zynga is a global leader in interactive entertainment with a mission to connect the world through games and a wholly-owned subsidiary of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). With massive global reach in more than 175 countries and regions, the combined diverse portfolio of popular game franchises has been downloaded more than 6 billion times on mobile, including Star Wars: Hunters, CSR Racing, Dragon City, Empires & Puzzles, FarmVille, Golf Rival, Hair Challenge, Harry Potter: Puzzles & Spells, High Heels!, Merge Dragons!, Merge Magic!, Monster Legends, Toon Blast, Top Eleven, Toy Blast, Two Dots, Words With Friends, and Zynga Poker.Founded in 2007, Zynga is headquartered in California with locations in North America, Europe, and Asia. For more information, visit www.zynga.com or follow Zynga on Twitter, Instagram, Facebook, or the Zynga blog
Position Overview
Interested in creating great products that impact millions of people? Building high performance systems that rely on big data and machine learning? Want to solve complex large scale technical problems using the latest technologies? Zynga is seeking a Machine Learning Engineer to join the Platform Machine Learning team in our Analytics organization based out of our Toronto office!
Zynga is a global leading player in creating fun, engaging games that connect the world together. Our team in Zynga Analytics Engineering is composed of talented individuals who are dedicated to pushing the boundaries of what machine learning algorithms are possible to help in Zynga. We are seeking a Machine Learning Engineer to join our team and help us make large-scale impact across all Zynga’s games.
What You'll Do
As a Machine Learning Engineer, you will be responsible for
- Developing, deploying and maintaining machine learning models and infrastructure that powers our games.
- Work closely with our data science and data analytics teams to develop models that drive insights and inform business decisions.
- Design and implement tools and processes that streamline our machine learning model development and deployment pipelines.
- Bachelor’s, Master’s degree in Computer Science or a related field.
- Experience in machine learning engineering and/or machine learning DevOps engineering.
- Experience deploying and maintaining ML models in production.
- Experience in Big Data Technologies: SQL, Spark, Airflow, NoSQL Databases, Data warehouse and Data Lake systems.
- Strong programming skills in Python, Golang, and/or Java.
- Experience with ML development platform and cloud environments such as using DataBricks, SageMaker, Vertex AI.
- Experience with CI/CD tools and working with Git.
- Excellent communication skills, and ability to work effectively with others in a team environment.
Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site
We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.
As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at [email protected] to request any accommodations or for support related to your application for an open position.
Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
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