Principal Machine Learning Engineer

Level Up Your Career with Zynga!

At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition.

From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more!

Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level.

Join us and be part of the play!

Position Overview:

Interested in creating great products that impact millions of people? Interested in 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 Principal Machine Learning Engineer to join the Platform Machine Learning team in our Analytics organization!

Zynga is one of the world’s largest mobile video game developers with over millions of monthly active users. The Platform Machine Learning team continues Zynga’s tradition of using analytics technologies to enhance our games. ML Engineers are responsible for creating and supporting a robust ML infrastructure that enables our Data Scientists to develop, deploy and manage ML workflows at scale.. ML Engineers also develop ML applications that are integrated into Zynga’s product ecosystem. While ML Engineers apply their work to ML specific applications, we use standard techniques and technologies for big data infrastructure and large scale production services.

What You'll Do:

As a Principal Machine Learning Engineer, you will be responsible for

• Demonstrate strong technical leadership and lead initiatives that push the boundaries of our ML capabilities.
• Provide guidance and coaching to the machine learning engineering team, fostering a culture of innovation and technical excellence.
• Work closely with our data science and data analytics teams to develop models that drive insights and inform business decisions.
• Developing, deploying and maintaining machine learning models and infrastructure that powers our games.
• Design and implement tools and processes that streamline our machine learning model development and deployment pipelines.

What You'll Bring:

• Master’s degree in Computer Science or a related field.
• 7+ years of production experience in software development with 5+ years in building ML applications and/or MLOps products.
• Experience deploying and maintaining ML models in production.
• Experience in Big Data Technologies: SQL, Spark, Airflow, NoSQL Databases, Data warehouse and Datalake systems.
• Strong programming skills in Python, Golang, and/or Java.
• Experience with ML development platform and cloud environments such as using DataBricks, AWS SageMaker, Google Vertex AI.
• Experience with distributed systems, containerization (Docker/Kubernetes), and workflow orchestration (Airflow, Kuberflow).
• Experience with CI/CD tools and working with Git.
• Excellent communication skills, and the ability to work effectively with others in a team environment, and the ability to translate technical concepts for non-technical stakeholders.

What We Offer You:

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

The pay range for this position in California at the start of employment is expected to be between $123,500 and $182,780 per year. 

However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.   Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits.  Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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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 accommodationrequest@zynga.com 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).