Senior Research Engineer

Luma builds multimodal AI systems to expand human imagination and capabilities, focusing on vision and language models.
$200,000 - $300,000
Machine Learning
Senior Software Engineer
In-Person
5+ years of experience
AI
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Description For Senior Research Engineer

Luma AI is pioneering the future of multimodal artificial intelligence with a mission to expand human imagination and capabilities. The company believes that the next breakthrough in AI will come from vision, going beyond traditional language models to create more aware and capable systems. As a Senior Research Engineer, you'll be at the forefront of developing cutting-edge multimodal foundation models that can see, understand, and interact with our world.

The role offers an exciting opportunity to work with PyTorch and tackle complex challenges in multimodal data and distributed systems. You'll be instrumental in building advanced multimodal language models with a strong focus on audio and visual data processing. Your work will directly impact various research projects and product roadmaps, from developing large-scale annotation systems to implementing state-of-the-art model training and inference methods.

The position requires expertise in Python and PyTorch, with hands-on experience in processing large-scale data across multiple modalities. You'll collaborate with cross-functional teams to transform research into practical products and services, while also contributing to the development of innovative product prototypes based on multimodal generative AI.

Located in the San Francisco Bay Area, this role offers competitive compensation ranging from $200,000 to $300,000 annually, along with attractive equity packages and comprehensive benefits. Join Luma AI to be part of a team that's pushing the boundaries of AI technology and creating systems that will shape the future of human-computer interaction.

Last updated 3 months ago

Responsibilities For Senior Research Engineer

  • Design and develop large-scale annotation efforts for model post-training
  • Build tools to evaluate and benchmark multimodal language models
  • Develop large-scale AI training and inference methods
  • Ensure efficient implementation of models & systems for data processing and training
  • Build tools to visualize, evaluate and filter datasets
  • Collaborate with research and engineering teams to transfer research to products and services
  • Implement cutting-edge product prototypes based on multimodal generative AI

Requirements For Senior Research Engineer

Python
  • Expertise in Python & PyTorch, including practical experience with full development pipeline
  • Experience processing large-scale text data or interleaved data spanning audio, video, image, and/or text
  • Hands-on experience in developing or benchmarking LLMs, Vision Language Models, Audio Language Models, or generative video models
  • Experience in design and development of annotation tools (preferred)
  • Experience in synthetic data (preferred)

Benefits For Senior Research Engineer

Equity
  • Stock Options
  • Comprehensive Benefits Plan

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