Principal Machine Learning Engineer, Virtual Economy Transactions

Posted 18 Days Ago
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San Mateo, CA
284K-332K Annually
Senior level
Computer Vision • Gaming • Software • Virtual Reality • Web3 • Metaverse
Immersive gaming and creation platform
The Role
As a Principal Machine Learning Engineer, you will develop scalable ML systems for Roblox's Virtual Economy, overseeing design, collaborating with teams, mentoring junior engineers, and setting the direction for future ML initiatives.
Summary Generated by Built In

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.

Why Virtual Economy?

The Virtual Economy team owns all aspects of Robux, Roblox’s Virtual Currency. Most of Roblox revenue flows through Robux systems.

As a Principal Machine Learning Engineer for the Virtual Economy, you will be the first ML hire in this team and will build new systems related to ranking and similar topics. You will report to Virtual Economy’s Senior Engineering Manager.

The scope of Virtual Economy’s team includes the several Purchasing surfaces, the Robux foundation systems, a platform to enable Purchasing Transactions and related reporting systems. Those systems enable developers to monetize their games on Roblox, earning hundreds of millions of dollars per year, while processing billions of transactions.

The ideal candidate is someone with extensive experience in Machine Learning, capable of working independently and the leadership skills to set direction as the Machine Learning practice grows within the team.

You Will:

  • Build experiences for a global community of over 70 million daily active users
  • Develop Machine Learning systems that scale to billions of products and transactions in a reliable, secure manner.
  • Work with product, data science, and design to help refine strategy and requirements.
  • Contribute to overall system design, gather feedback, and iterate where necessary.
  • Be a tech lead for the team and mentor junior engineers
  • Help recruit future talent for the team

You Have:

  • BS, MS or Ph.D. in computer science, engineering, mathematics, machine learning, (computational) physics or statistics or equivalent experience.
  • 5+ years experience with one or more of the following areas: search, recommendation, or advertising for a high-scale product.
  • Experience building and working on end-to-end ML systems, including data analysis, ML modeling and data pipelines.

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.

Annual Salary Range

$283,780$331,640 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).

You’ll Love: 

  • Industry-leading compensation package
  • Excellent medical, dental, and vision coverage
  • A rewarding 401k program
  • Flexible vacation policy (varies by exemption status)
  • Roflex - Flexible and supportive work policy 
  • Roblox Admin badge for your avatar
  • At Roblox HQ: 
    • Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks
    • Onsite fitness center and fitness program credit
    • Annual CalTrain Go Pass

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.

Top Skills

Machine Learning

What the Team is Saying

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Ying
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The Company
HQ: San Mateo, CA
2,500 Employees
Hybrid Workplace
Year Founded: 2004

What We Do

Roblox is an immersive gaming and creation platform that offers people millions of ways to be together, inviting its community to explore, create and share endless unique experiences. Our vision is to reimagine the way people come together — in a world that's safe, civil, and optimistic. To achieve this vision, we are building an innovative company that, together with the Roblox community, has the ability to strengthen our social fabric and support economic growth for people around the world.

Why Work With Us

Every day, Roblox employees tackle complex questions and drive incredible innovation. Join us in building the future of human connection and communication.

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Roblox Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We are requiring employees to be in the office three days a week – with core days being Tuesday, Wednesday, and Thursday. On Mondays and Fridays, employees may choose to work remotely, although the office will still be open.

Typical time on-site: 3 days a week
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HQSan Mateo, CA
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