Research Engineer (Foundation Model) New Grad

1 Hour ago • Upto 1 Years • Artificial Intelligence

About the job

Summary

This role is for a Research Engineer specializing in foundation models, focusing on Generative AI. Responsibilities include leading research in multimodal foundation models, designing and developing algorithms and architectures to enhance model performance and scalability, optimizing models for production environments, managing large-scale data clusters, and collaborating with cross-functional teams. The ideal candidate possesses strong engineering skills in Python and PyTorch, experience building machine learning models from scratch, familiarity with generative multimodal models (Diffusion Models and GANs), and a solid understanding of deep learning concepts including Transformers. The position is open to recent graduates and offers a competitive salary and equity package.
Must have:
  • Strong Python & PyTorch skills
  • Experience building ML models
  • Generative model familiarity (Diffusion, GANs)
  • Deep learning understanding (Transformers)
  • Large-scale data cluster management
Good to have:
  • 1+ year experience
  • 100+ GPU system experience
  • Linux cluster proficiency
Perks:
  • Competitive equity package
  • Comprehensive benefits plan
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We are seeking a highly skilled Research Engineer with extensive experience in training Generative AI models. As part of our research team, you will play a key role in building state-of-the-art multimodal foundation models and managing large-scale training runs on thousands of GPUs. Your expertise will directly impact the performance, scalability, and efficiency of our next-generation AI technologies.

Key Responsibilities

  • Lead and contribute to groundbreaking research in multimodal foundation models.
  • Design, develop, and experiment with innovative algorithms, architectures, and techniques to enhance model performance and scalability.
  • Optimize models for production environments, focusing on computational efficiency, throughput, and latency while maintaining accuracy and robustness.
  • Analyze and manage large-scale data clusters, identifying inefficiencies and bottlenecks in training pipelines and data loading processes.
  • Collaborate with cross-functional teams, including data, applied research, and infrastructure teams, to drive impactful projects.

Qualifications

  • Technical Expertise:
    • Demonstrated strong engineering skills in Python and PyTorch.
    • Hands-on experience building machine learning models from scratch using PyTorch.
    • Familiarity with generative multimodal models such as Diffusion Models and GANs.
    • Solid understanding of foundational deep learning concepts, including Transformers.
  • Preferred Experience:
    • 1 year+ industrial or academic lab experience.
    • Experience working with large distributed systems involving 100+ GPUs.
    • Proficiency with Linux clusters, systems, and scripting.

Note: This role is open to recent graduates.

Compensation

The salary range for this position in California is $160,000–$200,000 per year. The final offer will be based on job-related expertise, skills, candidate location, and experience. Additionally, we provide competitive equity packages in the form of stock options and a comprehensive benefits plan.

View Full Job Description
$160.0K - $200.0K/yr (Outscal est.)
$180.0K/yr avg.
Palo Alto, California, United States

About The Company

An idea-to-video platform that brings your creativity to motion.

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

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