Machine Learning Engineer

Rec Room is the best place to build and play games together. Players can chat, hang out, play in millions of rooms, or build something new to share with the world! We are looking for an exceptional Machine Learning Engineer to support our players & creators as we continue to grow. As a Machine Learning Engineer, you'll be responsible for designing, developing, and implementing machine learning models to power our in-game store recommendations and serve users content that they'd find valuable. You'll identify areas of improvement, iterate on how we've done things before, and find better ways of doing things. We are looking for someone who is driven by doing impactful work and is passionate about building great solutions.

WHAT YOU'LL DO:

• Design, develop, implement, and ship high-impact machine learning models that deliver valuable content to our users.
• Partner with the Data Infrastructure team on real-time personalization road-map & ranking models.
• Design and run experiments to uncover opportunities for improvement (i.e., A/B tests and model performance).
• Work closely with cross-functional teams including Product Data Scientists, Data Engineers, Software Engineers, Product Managers, and Designers to gather requirements and build pipelines.
• Champion and apply best practices related to availability, scalability, operational excellence, and cost management.
• Cultivate strong partnerships with cross-functional partners across the business.

WE ARE LOOKING FOR INDIVIDUALS WITH:

• Master's or Ph.D. degree in computer science, statistics, mathematics, or a related field.
• 3+ years of experience in Machine Learning and Applied Science in a production setting, ideally focusing on personalization, recommendations, ranking, search, and content discovery.
• Excellent software engineering skills with proficiency in Python and large-scale data processing using Spark (e.g., PySpark, SparkSQL, Scala).
• Experience building and shipping ML Models into production with great results.
• Exceptional communication skills with the ability to explain complex technical concepts across business functions.
• Strong ownership mindset and a desire to thrive with minimal oversight.
• A strong sense of curiosity with a desire to experiment and iterate for optimal solutions.

Nice to Have:

• Experience and/or a passion for gaming.
• DBT knowledge.
• Knowledge of Spark/Databricks.
• Proficiency in additional programming languages (e.g., Java, Scala).

COMPENSATION AND BENEFITS:

• The base pay range for this position is $155,000—$190,000 USD, varying based on location, job-related knowledge, skills, and experience.
• Stock options and, in some cases, a sign-on bonus may be offered as part of the compensation package.
• Benefits include flexible vacation, medical, dental, and vision coverage, life and disability insurance, long-term care insurance, FSA, commuter benefits, a 401(k) plan with a company match, and a parental leave program.
• Additionally, we provide non-standard benefits such as equipment stipends, family, and pet care stipends.

COMPANY INFO:

Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and your children. We also support your retirement benefits with a company match. Rec Room values work-life balance by providing unlimited paid time off. Our company values are real and drive our culture. We work hard to be a safe and friendly place for people from all walks of life. Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Applicants who need reasonable accommodation for any part of the application process may contact accommodationrequest.interviews@recroom.com in confidence. Rec Room will work with each individual to define their application-related needs and to try to accommodate those needs. Applicants can find our CCPA disclosure notice here.