Senior Machine Learning - Avatar, Core AI

Workman Labs; San Mateo (CA); Hybrid; USD 196,000 - 242,000; Full time

Job summary

Roblox in San Mateo, CA is seeking a Senior Machine Learning engineer to lead low-cost, in-experience ML development and optimize generative AI deployment across cloud and client devices.

The role focuses on on-device ML operations, core AI components, and collaboration with cross-functional teams to drive scalable, performant models in a hybrid work environment.

Qualifications

• 2+ years of ML model development experience with Python.
• Experience with PyTorch and TensorFlow in production.
• Shipping ML features on low-powered devices.
• Knowledge of cutting-edge deep learning architectures.

Responsibilities

• Develop and implement state-of-the-art ML models.
• Stay up-to-date with ML research and apply it to improve model performance.
• Establish a pipeline for delivering Roblox ML models on a range of computing devices.
• Build cross-functional partnerships on deployment and architecture optimization.
• Design and implement primary components of the in-experience machine learning system.

Skills

Python

ML model development

Cross-functional collaboration

State-of-the-art DL architectures

Model optimization techniques

Tools

PyTorch

TensorFlow

Job description

Senior Machine Learning - Avatar, Core AI

Senior ML engineer leading low-compute-cost, in-experience machine learning at Roblox — designing core components of on-device ML operations and optimizing generative AI model deployment across cloud and a wide range of client devices.

$195,780 – $242,100 / yr

Location

San Mateo, CA

Hybrid

Seniority

Senior

Compared with 41 other Engineering roles: Common across similar roles Unique to this role

What you'll do

Responsibilities

• Develop and implement state-of-the-art ML models
• Stay up-to-date with the latest ML research and apply it to improve model performance
• Establish a pipeline for delivering Roblox ML models on a range of computing devices
• Build cross-functional partnerships on deployment and architecture optimization
• Design and implement primary components of the in-experience machine learning system

What you'll need

Experience

• 2+ years of experience developing machine learning models, preferably in image, video, audio or 3D representations with Python
• Strong understanding of deep learning frameworks including PyTorch and TensorFlow
• Experience shipping ML features in production environments, including low-powered devices
• Excellent cross-functional skills, partnering with organization leaders and driving to a conclusion
• Knowledge of state-of-the-art deep learning network architectures and primitives
• Experience with model optimization techniques