
Distinguished Engineer, Machine Learning - Discovery
San Mateo, CA · San Mateo · USD 419,390-457,970 / year · 10+ years experience · Full-time · Onsite · Posted Sep 25, 2026
At a glance
- Experience
- 10+ years experience
- Employment
- Full-time
- Workplace
- Onsite
- Location
- San Mateo, CA · San Mateo
- Salary
- USD 419,390-457,970 / year · Base salary
- Visa sponsorship
- Visa sponsorship not offered
About the role
- The Distinguished Engineer, Machine Learning - Discovery will lead the technical vision and execution for machine learning initiatives across search and recommendation teams.
- This role focuses on connecting users with content through large-scale personalization to drive engagement and retention.
- The position involves balancing research with practical implementation of ML solutions, including traditional models and Generative AI.
Responsibilities
- Own the technical direction and implementation for machine learning solutions powering search and recommendation systems.
- Author specifications for new features and improvements.
- Set AI strategy and drive outcomes across candidate generation, ranking, objective functions, and value delivery.
- Build and evolve infrastructure for training, serving, and evaluating traditional ML and Generative AI models.
- Co-design models and systems at the intersection of model architecture and infrastructure.
- Lead other engineers through technical direction and individual contribution.
- Collaborate with cross-functional teams to ensure products align with community and company goals.
- Balance research of new technologies with practical application in Roblox products.
- Collaborate with industry communities and act as an ambassador for Roblox.
Requirements
- 10+ years of experience delivering and improving large-scale search and recommendation systems.
- Experience crafting and building large-scale machine learning models with billions of parameters and launching them into production.
- Capability to break down long-term product requirements into iterative deliverable stages.
- Experience initiating and facilitating technical decisions across multiple teams and organizations.
- Deep technical expertise with a user-centric approach.
- Generalist approach with mastery of several languages and technologies.
- Ability to perform hands-on data and machine learning problem-solving.
- BS in Computer Science or a related discipline.
Preferred qualifications
- MS degree
- PhD degree
Benefits
- Equity compensation
- Annual salary range of $419,390—$457,970 USD
Workplace
- Onsite Tuesday, Wednesday, and Thursday.
Skills
- Machine Learning
- Recommendation Systems
- Generative AI
- Embedding-based Retrieval
- Transformers
- LLM-based Workflows
- Model Architecture
- AI Infrastructure