Data Analytics Engineer Jobs at Roblox with Visa Sponsorship

INTRODUCTION

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.

ROLE AND RESPONSIBILITIES

As a Senior Machine Learning Engineer on the Economy ML team, you will build models that power ranking, personalization, pricing, and optimization across Roblox’s economic surfaces, including Marketplace, Developer Monetization, and Payments. Your work will directly shape how users discover virtual items, how creators earn, and how the platform grows sustainably. The Economy ML team is building the machine learning backbone for Roblox’s virtual economy—from intelligent pricing and personalized storefronts to dynamic layout optimization and avatar content understanding. We partner closely with Marketplace, Payments, and Developer Monetization to deliver ML systems that drive long‑term value across engagement, retention, and creator earnings.

You Will

- Work backwards from ambiguous product problems to design and ship end‑to‑end ML solutions for ranking, recommendation, pricing, and content understanding across Economy surfaces.
- Build and iterate on deep learning retrieval and ranking models that personalize item and widget ordering across the Marketplace and other shopping experiences.
- Develop models and policies that optimize pricing, conversion, and revenue while balancing ecosystem health, payer experience, and creator success.
- Own the full ML lifecycle for your projects: data exploration, feature engineering, model design, training, evaluation, and production deployment on Roblox’s ML platform.
- Design and run robust experiments (A/B tests and multi‑cell experiments), tying your work to core metrics such as engagement, bookings, and creator earnings.
- Partner cross‑functionally with Product, Backend, Data Science, Design, and other Marketplace / Economy teams to define roadmaps, requirements, and success metrics for ML‑driven features.
- Ensure the systems you build are scalable, reliable, observable, and extensible, including setting best practices around logging, monitoring, and on‑call readiness for ML services.
- Contribute to the technical direction of the Economy ML team: help refine our modeling stack, experimentation strategy, and approaches to long‑term reward optimization across the economy.
- Mentor other engineers on ML best practices, code quality, and experimentation, helping raise the technical bar of the broader Economy organization.

BASIC QUALIFICATIONS

- BS, MS, or Ph.D. in Computer Science, Machine Learning, Statistics, or a related technical field—or equivalent practical experience building ML systems.
- Experienced: 5+ years experience with one or more of the following areas: search, recommendation, personalization, pricing, or content understanding systems for a high‑scale product.
- Fluent in the ML lifecycle: Comfortable taking a problem from messy data and product ambiguity through modeling, evaluation, and stable production deployment, including building and maintaining data pipelines and feature stores.
- Deeply product‑oriented: You think in terms of impact on users, creators, and the business, and you can reason clearly about how model choices affect metrics like LTV, engagement, conversion, and creator earnings.
- Technically strong in modern ML: Hands‑on experience with deep learning for ranking/retrieval, representation learning for text and/or vision, and large‑scale training/inference on distributed infrastructure.

PREFERRED QUALIFICATIONS

- Experiment‑driven: You are comfortable designing experiments, diagnosing metric movements, and iterating quickly while maintaining statistical rigor and healthy guardrails for the ecosystem.
- Collaborative and low‑ego: You enjoy working closely with engineers, Product Managers, Data scientists, and designers across Marketplace, Payments, and Developer Monetization, and you can drive alignment in complex, multi‑stakeholder environments.
- Creative and strategic: You take a long‑term view of the Roblox economy, are comfortable challenging assumptions, and can balance quick wins with foundational investments in data, infrastructure, and modeling quality.

COMPENSATION

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: $243,290—$295,250 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence 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 to candidates with qualifying disabilities or religious beliefs during the recruiting process.