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Senior Machine Learning Engineer, GenAI Data

Job in San Mateo, San Mateo County, California, 94409, USA
Listing for: Workman Labs
Full Time position
Listed on 2026-08-14
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 243290 - 295250 USD Yearly USD 243290.00 295250.00 YEAR
Job Description & How to Apply Below

Senior Machine Learning Engineer, GenAI Data

Senior engineer on Roblox's Foundation AI organization building the data flywheel behind its Video Gen and 3DGen foundation models — architecting petabyte-scale multi-modal data pipelines, synthetic data generation, evaluation frameworks, and inference APIs.

$243,290 – $295,250 / 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
  • Architect and maintain automated pipelines for ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D) spanning petabytes of data
  • Leverage image and video generation models to scale multi-modal synthetic datasets
  • Partner with research teams to create training data for research experiments — research and implement synthetic data creation pipelines
  • Build and own evaluation — automating heuristic-based metrics and human-in-the-loop interfaces to benchmark training datasets and in-house foundation models
  • Design and optimize high-throughput, low-latency inference APIs for internal and external consumer access
  • Participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling
  • Implement monitoring for pipeline health and optimize data loading to ensure GPUs are used efficiently
What you'll need Experience
  • 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 batch and real-time environments; experience processing very large datasets (petabytes or more)
  • Versatile generalist comfortable with several languages and technologies Unique
  • Collaborative team member who mentors peers and takes ownership of key features and projects across team boundaries Unique
  • High-quality Python for automation, tooling, and infrastructure management
  • Experience with cloud data platforms and distributed processing technologies (e.g., Spark, Ray, Kubeflow, S3)
  • Passion for generative AI, particularly in creative domains like 3D/4D content
  • Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field Common
  • Nice to have: MLOps (Weights & Biases, MLflow), human-in-the-loop data labeling tools for video/3D, C++ for data loader performance, and game dev / DCC tools (Roblox, Blender, Unreal Engine, Unity)
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Position Requirements
10+ Years work experience
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