Senior ML Engineer, Scalable Recommender Systems

Roblox; San Mateo (CA); Hybrid; USD 192,890 - 238,520; Full time

Benefits offered by this job

Equity compensation

Benefits package

Job summary

A leading gaming platform in San Mateo, CA, is seeking a talented individual to design and implement large-scale recommendation systems. The role requires expertise in machine learning and the ability to translate research into production systems. Ideal candidates will hold a PhD in a relevant field and possess a strong background in recommender systems and large-scale engineering. The position offers an annual salary range of $192,890 — $238,520, with a hybrid work model.

Qualifications

• Pursuing or possesses a PhD aligned with Roblox’s research areas.
• Strong research track record with publications in top-tier venues.
• Ability to design systems for user interest modeling.

Responsibilities

• Design and implement large-scale recommendation systems.
• Collaborate with researchers and engineers on ML solutions.
• Translate research into impactful production systems.

Skills

Recommender systems

Search systems

Information retrieval

Generative models

Large-scale systems

Machine Learning

Education

PhD in computer science, engineering, or related field

Tools

Python

C++

Go

Java

Job description

A leading gaming platform in San Mateo, CA, is seeking a talented individual to design and implement large-scale recommendation systems. The role requires expertise in machine learning and the ability to translate research into production systems. Ideal candidates will hold a PhD in a relevant field and possess a strong background in recommender systems and large-scale engineering. The position offers an annual salary range of $192,890 — $238,520, with a hybrid work model.