Job Description

Job Title: Senior Machine Learning Engineer, Content Suitability - PhD Early Career

Company: Roblox

Years of Experience: 0–3 years / Research-focused (PhD preferred or pursuing)

Location: San Mateo

Role Type: Full-time

Salary: $195,780 – $242,100 USD (plus equity & benefits)

Eligibility

• Pursuing or completed a PhD (or equivalent research experience) in Computer Science, Computer Engineering, Mathematics, or a related technical field.
• Strong fundamentals in one or more of:
• Computer Vision
• Large Language Models
• Deep Learning

Role Overview

We are looking for a Machine Learning Engineer to design, train, deploy, and optimize large-scale machine learning models with billions of parameters. This role focuses on end-to-end ML lifecycle management, from research and experimentation to production deployment, especially for safety-critical AI systems.

You’ll work closely with ML engineers, backend teams, and product stakeholders to scale models reliably while improving safety, efficiency, and system performance.

Key Responsibilities

• Manage the complete lifecycle of large-scale ML models, including data exploration, model training, deployment, monitoring, and optimization.
• Build and implement machine learning solutions for safety-related systems.
• Collaborate across engineering teams to deploy models at massive scale.
• Break down long-term product goals into iterative, deliverable milestones.
• Support continuous model improvements through experimentation and feedback loops.
• Contribute to a culture of technical excellence, innovation, and inclusivity.
• Ensure scalability, reliability, and performance of production AI systems.

Skills and Qualifications

• Strong experience in large-scale ML systems and distributed training.
• Familiarity with content understanding problems, including:
• Text classification
• Image classification
• Video classification
• Experience with cloud-based ML platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.