В Roblox предстоит заниматься четко очерченными ML-задачами с заметным влиянием на крупный продукт и высоким уровнем технической ответственности; основные ограничения - работа в офисе в Сан-Матео и отсутствие будущего спонсорства H-1B.
Ограничения по визам
Современный ML-стек
Полная ответственность
?Работа в офисе
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Machine Learning Engineer (Economy ML): Building recommendation, ranking, pricing, and optimization models for Roblox’s virtual economy with an accent on retrieval, personalization, efficient large-scale training, and production ML systems. Focus on designing experiments, optimizing engagement, conversion, revenue, and creator earnings, and maintaining reliable models in production.
Location: San Mateo, California, United States; office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.
Salary: $260,300–$312,970 annual base pay, plus equity and benefits for full-time employees.
Company
Roblox builds a platform and tools for creating and participating in 3D immersive digital experiences, including a virtual economy for users, creators, and developers.
What you will do
Design and iterate on retrieval, ranking, generative recommendation, pricing, and optimization models across Marketplace, Developer Monetization, and Payments.
Build and deploy end-to-end ML solutions, covering data and feature exploration, modeling, evaluation, and production deployment.
Optimize models for training and serving at scale while balancing quality, latency, compute, and cost through distributed training and production serving.
Design A/B and multi-cell experiments tied to engagement, bookings, conversion, revenue, and creator earnings.
Monitor data and prediction quality, detect drift and regressions, and contribute to on-call practices for ML services.
Partner with Product, Backend, Data Science, Design, Marketplace, and Economy teams; shape technical direction and mentor engineers.
Requirements
3+ years of industry experience building recommendation, search, or ranking systems for a high-scale product; pricing or content-understanding experience is a plus.
Hands-on expertise with recommender architectures such as sequence models, multi-task ranking, and large sparse embeddings, including efficient multi-GPU training and serving.
Experience taking ML problems from messy data and product ambiguity through modeling, evaluation, and stable production deployment.
Strong coding skills in Python and PyTorch.
Ability to reason about the impact of model choices on LTV, engagement, conversion, and creator earnings.
Experience designing experiments, diagnosing metric movements, and maintaining statistical rigor and ecosystem guardrails.
Ability to collaborate with engineers, product managers, data scientists, and designers across multiple stakeholders.
Comfort balancing short-term improvements with foundational investments in data, infrastructure, and modeling quality.
Nice to have
Experience with pricing or content understanding.
Experience applying LLM or multimodal techniques to recommendation.
Culture & Benefits
Full-time employees are eligible for equity compensation and benefits.
Work involves cross-functional collaboration across Marketplace, Payments, Developer Monetization, and broader Economy teams.
Roblox provides equal employment opportunities and reasonable accommodations during the recruiting process.
The company may not be able to employ candidates whose United States work authorization is tied to certain U.S. visa categories and does not currently support future H-1B sponsorship.
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