Distinguished Engineer, Machine Learning - Search and Discovery

3 Hours ago • 10 Years + • Research Development • $383,910 PA - $440,190 PA

Job Summary

Job Description

Roblox is seeking a Technical Director of Search and Discovery to lead the technical vision and execution for machine learning initiatives in Search and Discovery teams. The role focuses on connecting users with the best content at the right time, personalizing experiences, and driving engagement and retention. The Technical Director will be responsible for designing and building machine learning solutions at a high scale, authoring feature specifications, leading engineers, ensuring the right way of building new services, and collaborating with other teams. The role also involves balancing research with practical application and acting as an ambassador for Roblox in industry communities. A strong user-oriented approach and the ability to tackle complex data and machine learning problems are essential.
Must have:
  • 10+ years experience in Machine Learning
  • Proven track record in search and recommendation systems
  • Ability to break down long-term product requirements
  • Initiated and facilitated significant technical decisions
  • User-oriented approach
  • Adaptable to new languages and technologies
  • Passion for tackling data/ML problems
  • BS in Computer Science or related field
Good to have:
  • MS/PhD in Computer Science or related field
Perks:
  • Equity compensation
  • Benefits

Job Details

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. 

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. 

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

As a Technical Director of Search and Discovery, you’ll be in charge of the overall technical vision and execution for all machine learning initiatives across our Search and Discovery teams. The mission of these teams is to connect a billion users with the best connections and content at the right time, covering a very diverse range of search and recommendation problems at a high scale. This is fundamental to how we personalize the experience to drive engagement and retention for Roblox users. 

With daily active users growing at a record rate, we are looking for expert tech leaders who are passionate about designing and building machine learning solutions to power Search and Recommendations.

You Will:

  • Lead the technical direction and implementation for the machine learning solutions that power the search and recommendation systems driving Roblox content distribution.
  • Author specs for new features and improvements.
  • Lead other engineers by example and through technical direction as an individual contributor.
  • Become an authority on our technology stack and ensure that we always build new services the right way.
  • Collaborate with other teams within Roblox to make sure we are building products with community and company-first mentality.
  • Balance researching new technologies with a practical approach to realize the research efforts into the Roblox products.
  • Collaborate with the industry and communities where applicable and be an ambassador for Roblox.

You Have 

  • 10+ years of experience in Machine Learning and a proven track record of designing, delivering and improving large-scale search and recommendation systems.
  • The ability to break down long-term product requirements into iterative deliverable stages to build products used by billions of users. 
  • Initiated and facilitated significant technical decisions across multiple teams and organizations. 
  • A user-oriented approach. While deeply technical, you always start with the needs of the user, whether they are Roblox users or internal engineers. 
  • Mastered several languages and technologies already; you can easily adapt to any situation. 
  • A passion for rolling up your sleeves to tackle data problems or machine learning problems when they come up.
  • A BS in Computer Science or a related field, MS/PhD are a definite plus.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range
$383,910$440,190 USD

Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

Roblox 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. Roblox also provides reasonable accommodations for all candidates during the interview process.

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About The Company

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (Hybrid)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

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