Senior Personalization Engineer

4 days ago

Seattle, Washington, United States Rec Room Full time
Transformative Machine Learning Opportunities at Rec Room

We are looking for a talented Machine Learning Engineer to join our team and contribute to the development of innovative machine learning models that power our in-game store recommendations and serve users valuable content. As part of our mission to build a safe and friendly place for players from all walks of life, we aim to create a personalized experience for our users.

About the Role

This exciting opportunity is perfect for individuals who are passionate about building impactful solutions and driven by a desire to make a difference. In this role, you will be responsible for designing, developing, and implementing high-impact machine learning models that deliver valuable content to our users. You will work closely with cross-functional teams, including Data Engineers, Software Engineers, Product Managers, and Designers, to gather detailed requirements, build pipelines, and implement end-to-end solutions at scale.

You will have the opportunity to identify areas of improvement, iterate on existing solutions, and find better ways of doing things. Your exceptional communication skills will enable you to explain complex technical concepts to partners across all business functions. We are looking for someone who thrives in an environment with minimal oversight and process and has a strong sense of curiosity with a desire to experiment and iterate to get to a great solution.

Key Responsibilities
  • Design, develop, implement, and ship high-impact machine learning models that deliver valuable content to our users
  • Partner with the Data infrastructure team on projects such as real-time personalization roadmaps and 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 to gather requirements, build pipelines, and implement end-to-end solutions at scale
  • Cultivate strong partnerships with cross-functional partners across the business
Requirements and Qualifications

To succeed in this role, you will need:

  • A Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
  • At least 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, with the 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, with the ability to explain complex technical concepts to partners across all business functions
  • The ability to deal with ambiguity, a strong ownership mindset, and a desire to thrive on minimal oversight and process
Benefits

We offer a competitive salary range of $155,000 - $190,000 USD per year, depending on location, job-related knowledge, skills, and experience. Our comprehensive benefits package includes medical, dental, and vision plans, a company match for retirement savings, unlimited paid time off, and equipment, family, and pet care stipends. We are committed to creating a safe and friendly work environment and provide equal employment opportunities to all employees and applicants for employment.

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