[2025] Senior Machine Learning Engineer, Marketplace - PhD New Grad

Posted 2 Days Ago
Be an Early Applicant
San Mateo, CA
219K-219K Annually
Entry level
Computer Vision • Gaming • Software • Virtual Reality • Web3 • Metaverse
Immersive gaming and creation platform
The Role
The Senior Machine Learning Engineer will build end-to-end ML solutions for search and recommendation systems, focusing on personalization and content understanding. Responsibilities include designing and optimizing deep learning models and developing scalable production systems to cater to high-scale requests.
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.

The Marketplace team at Roblox is reimagining how the Roblox community discovers, interacts with, and personalizes avatar content. From search and recommendation systems to cutting-edge models for understanding text and visual content, our mission is to drive discovery and personalization for avatar bodies, clothing, accessories, outfits, and beyond. Our work impacts both users and creators, ensuring that the Marketplace serves the diverse needs of the Roblox ecosystem.

The focus areas for this team include:  recommender systems, search systems, personalization, multimodal models, content understanding, and computer vision.

You Will:

  • Build end-to-end machine learning solutions for search, recommendation, and content understanding by working backward from product needs.
  • Design, implement, and optimize deep learning models that drive discovery and personalization across the Marketplace.
  • Explore novel modeling approaches for ranking, retrieval, multimodal content understanding, and query understanding.
  • Develop robust and scalable production systems to serve high-scale search and recommendation requests.

You Have:

  • Possess or pursuing a Ph.D. in Computer Science, Computer Engineering, Data Science, or a similar technical degree.
  • Proficiency in one or more programming languages such as Go, Node.js, Ruby, Python, C++, Lua, Swift, C#, or Java
  • Expertise in areas such as recommender systems, search technologies, personalization strategies, or advanced content understanding techniques
  • Experience with state-of-the-art techniques in deep learning, including LLMs, multimodal models, NLP, or computer vision.
  • Excel at building and working on end-to-end ML systems, from data analysis and ML modeling to production pipelines.
  • Published and presented peer-reviewed articles in top-tier venues.

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

$218,540$218,540 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

C#
C++
Go
Java
Lua
Node.js
Python
Ruby
Swift

What the Team is Saying

Claus
Ying
Denise
Andrea
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
Company Office Image
HQSan Mateo, CA
IN
Learn more

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