The role
We are building the world’s most capable foundational models, allowing anyone to generate beautiful, cinematic and high-definition video in minutes.
We’re a small team of young & hungry researchers, and have raised over $30m from world class investors including Khosla Ventures & YCombinator. We released our first model two months ago, quickly becoming the fastest growing AI product on Discord since Midjourney with over 100,000 users in 6 weeks.
We’re looking for a Principal Research Engineer and the role is fully remote.
At Moonvalley, our product development process will be a bit non-standard and consist of small autonomous teams working to ship great features and experiences. Here is a good primer. You’ll work closely with your team (product designer, developers) daily, take ownership, make calls, and see things through without a lot of oversight.
What you'll do (responsibilities)
As a Principal Research Engineer, you'll be working alongside MLEs, you will ensure the development and deployment of cutting-edge AI models. Reporting directly to our Chief Scientist Officer, you will be responsible for:
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Architecting and developing high-performance MLOps systems that seamlessly integrate with our AI models, enhancing both development and deployment cycles
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Collaborating with cross-functional teams—spanning data scientists, AI researchers, and software engineers—to deeply understand requirements and align data, infrastructure and model training strategies with our ambitious goals
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Providing technical leadership in the selection and implementation of software technologies
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Diagnosing and resolving complex software challenges, optimizing the performance and reliability of our AI/ML systems
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Guiding project planning and estimation to ensure resources are efficiently allocated, facilitating on-time and impactful solution delivery
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Crafting and maintaining essential technical documentation to support system architecture, API usage, and operational guidelines
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Scaling high volume parallel AI models
What we're looking for (qualifications)
The ideal candidate for this role should possess:
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Masters or PhD in Computer Science, Mathematics or a related field with experience in modern deep learning technology
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Minimum 5 years working with a leading world-class, high performance engineering team
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Expertise in machine learning tools, and implementing best practices
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Proven experience with scaling large-scale LLMs and/or other Deep Learning systems
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Strong technical proficiency in AI and ML, capable of guiding complex project designs and implementations
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(Nice to have): Experience with low-level optimizations; in particular, low-level GPU programming
What we offer (compensation & benefits)
Moonvalley
