Senior Machine Learning Engineer, Roblox
GenAI Data
$243.3-295.3k
+ Equity
More information about location
Office located in San Mateo, CA
Online gaming & entertainment platform
Job no longer available
Online gaming & entertainment platform
1001+ employees
Job no longer available
$243.3-295.3k
+ Equity
More information about location
Office located in San Mateo, CA
1001+ employees
Company mission
To connect a billion people with optimism and civility.
Role
Who you are
- 8+ years of experience as a research-focused data systems engineer (preferably working with 3D and video foundation models)
- Expertise in building scalable ML data pipelines for both batch and real-time environments. Experience working with and processing very large datasets (Petabytes or more)
- Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation
- Team-Player & Technical Leader: You are a collaborative team member who actively mentors peers, drives technical excellence, and takes ownership of leading and delivering key features and projects across team boundaries
- Python Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure management
- Experience with cloud data platforms and distributed processing technologies (e.g., Spark, Ray, Kubeflow, S3, etc.)
- Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content
- A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field
- MLOps Experience: Knowledge of experiment tracking (Weights & Biases, MLflow) and versioning for massive datasets
- Custom Tooling Development: Experience building internal "human-in-the-loop" tools for data labeling specific to video or 3D
- C++ Knowledge: Optimize the performance of data loaders and being comfortable modifying engine code
- Game development and digital content creation tools: Experience with making Roblox games, using Blender, Unreal Engine, or Unity
What the job involves
- As a Senior Software Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts
- While the research world is focused on architecture, you will be the architect of the data flywheel that makes VideoGen and 3DGen possible
- You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time
- In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity data synthesis and evaluation
- You will bridge the gap between research prototypes working locally to scaling for millions of users
- You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive datasets required for these models
- We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale
- Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI
- High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D,) spanning petabytes of data
- Synthetic Data Generation: Leverage image and video generation models to scale multi-modal synthetic datasets
- Research-to-Production Bridge: Partner with research teams to create training data for research experiments – research and implement synthetic data creation pipelines
- Scalable Evaluation Frameworks: Build and own evaluation—automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation models
- Model Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access
- Autonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling
- Resource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs are used efficiently
Our take
Online gaming may be a well-established space, but Roblox has distinguished itself as a leader by empowering its community to build, share, and profit from their own creations - turning game development into an accessible, rewarding ecosystem for millions of users.
In addition to standard games, the platform offers virtual worlds and other experiences to explore and interact with. Its platform provides an online ecosystem for millions to create, socialize, chat, and explore immersive experiences with friends. In fact, in the US its used by two-thirds of children aged 9 to 12.
The platform has faced scrutiny over user safety, but responded by strengthen parental controls and launching initiatives like its "Parents Council". This move to address these issues, atop its strong financial performance and record payouts to developers, showcase Roblox's trajectory as one of innovation and impressive growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2021
$520m
SERIES H
Feb 2020
$150m
SERIES G
Total funding: $922.8m
Company HQ
South San Mateo, San Mateo, CA
Leadership
David Baszucki
(Founder & CEO)Studied Electrical Engineering at Stanford before founding Knowledge Revolution in 1990, where they spent 9 years as CEO. They worked as VP of MSC.Software for 2 years, and started Roblox in 2005.
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