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Senior Machine Learning Engineer, GenAI Data

United States, San Francisco - California

SpringCube

Full-time - Senior Engineer

Computer Games

Posted 3 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global technology and gaming platform is seeking a Senior Machine Learning Engineer to advance its foundation AI initiatives. The organization empowers a vast community of creators and developers to build immersive 3D experiences, connecting millions of users worldwide. It focuses on innovative AI, generative modeling, and scalable infrastructure to drive high-fidelity, multi-modal digital content.

Summary
The Senior Machine Learning Engineer will design and maintain high-scale ML data pipelines, enable generative AI capabilities, and bridge research and production for 3D and video foundation models. The role requires strong technical expertise, hands-on infrastructure development, and close collaboration with AI researchers to provide the high-quality datasets that drive advanced generative models.

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 implement synthetic data creation pipelines for experiments
  • Build and manage evaluation frameworks, including heuristic-based metrics and human-in-the-loop assessment for datasets and models
  • Design and optimize high-throughput, low-latency inference APIs for internal and external consumption
  • Monitor pipeline health and optimize resource usage to ensure efficient GPU utilization
  • Actively review literature and research to implement the latest optimizations in generative modeling
  • Contribute to technical leadership, mentoring peers, and delivering key infrastructure projects

Qualifications

  • 8+ years of experience as a research-focused data systems engineer, preferably with 3D and video foundation models
  • Expertise in building scalable ML data pipelines for batch and real-time environments
  • Experience working with extremely large datasets (Petabytes or more)
  • Proficiency in Python for automation, tooling, and infrastructure management
  • Familiarity with cloud data platforms and distributed processing technologies (Spark, Ray, Kubeflow, S3)
  • Experience in experiment tracking (Weights & Biases, MLflow) and dataset versioning
  • Ability to build internal human-in-the-loop tools for video or 3D data labeling
  • Knowledge of C++ for optimizing data loaders and modifying engine code
  • Experience with digital content creation and game development tools (Blender, Unreal Engine, Unity, Roblox)
  • Strong collaboration, problem-solving, and technical leadership skills
  • Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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    International Plaza
    Singapore 079903
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