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 are 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 things like our 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 Product Data Scientists, Data Engineers, Software Engineers, Product Managers, and Designers to gather detailed requirements, build pipelines, and implement end-to-end solutions at scale.
- Champion and apply best practices when it comes 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 working on personalization, recommendations, ranking, personalization, search, and/or content discovery
- Excellent software engineering skills in multiple languages. Ability to leverage Python and large-scale data processing with Spark (e.g. PySpark, SparkSQL, and/or Scala).
- Experience building and shipping ML Models into production with great results
- Exceptional communication skills, the ability to explain complex technical concepts to partners across all business functions.
- Ability to deal with ambiguity, a strong ownership mindset, and a desire to thrive on minimal oversight and process
- A strong sense of curiosity with a desire to experiment and iterate to get to a great solution.
Nice to Have:
- Experience and/or a passion for gaming
- DBT knowledge
- Spark/Databricks knowledge
- Additional language proficiency (e.g. Java, Scala) are also a plus
The base pay range for this position is listed below; please note the base pay may vary depending 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. We also offer a full slate of benefits, including flexible vacation, medical, dental vision, life and disability coverage, long-term care insurance, FSA, commuter benefits, a 401(k) plan with company match, and a parental leave program. We also offer some not-so-standard benefits, including equipment, family, and pet care stipends.Base Pay Range$155,000—$190,000 USD
COMPANY INFO TO KNOW:
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.comin 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.
