Research Engineer

About the Job

We are pioneering the development of the world's most advanced foundational models, enabling effortless generation of cinematic, high-definition videos within minutes.

As a small yet dynamic team of ambitious researchers, we've secured over $30 million in funding from esteemed investors like Khosla Ventures and YCombinator. Our debut model, launched just two months ago, has swiftly emerged as the fastest-growing AI product on Discord since Midjourney, boasting over 100,000 users within a mere 6 weeks.

We're currently seeking a Research Engineer for a fully remote role. At our company, our product development approach is somewhat unconventional, with small autonomous teams driving feature development and user experiences. You'll collaborate closely with your team—comprising product designers and developers—on a daily basis, taking ownership, making decisions, and ensuring project completion with minimal oversight.

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What You'll Do (Responsibilities)

As a Research Engineer working alongside Machine Learning Engineers (MLEs), your primary focus will be on developing and deploying cutting-edge AI models. Reporting directly to our AI team Principals, your responsibilities will include:

• Designing and developing high-performance MLOps systems that seamlessly integrate with our AI models, optimizing both development and deployment workflows.
• Collaborating with cross-functional teams—including data scientists, AI researchers, and software engineers—to deeply understand requirements and align data, infrastructure, and model training strategies with our ambitious objectives.
• Assisting in the selection and implementation of software technologies.
• Diagnosing and resolving complex software challenges, optimizing the performance and reliability of our AI/ML systems.
• Guiding project planning and estimation to ensure efficient resource allocation, facilitating timely and impactful solution delivery.
• Crafting and maintaining essential technical documentation to support system architecture, API usage, and operational guidelines.
• Scaling high-volume parallel AI models.

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What We're Looking For (Qualifications)

The ideal candidate for this role should have:

• A Master's or PhD in Computer Science, Mathematics, or a related field, coupled with experience in modern deep learning technology.
• A minimum of 3 years' experience working with a world-class, high-performance engineering team.
• Expertise in machine learning tools and implementing best practices.
• Proven experience in scaling large-scale LLMs and/or other Deep Learning systems.
• Strong technical proficiency in AI and ML, capable of guiding complex project designs and implementations.
• (Nice to have) Experience with low-level optimizations, particularly low-level GPU programming.

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What We Offer (Compensation & Benefits)

• Competitive salary range: $100,000 - $150,000 annually, depending on experience and qualifications.
• Equity.
• Health coverage.
• Unlimited paid vacation.
• Fully distributed culture that's async first.
• Hardware.