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Leonardo Interactive Pty

Senior Research Scientist

Leonardo Interactive Pty, San Francisco, CA, United States


Leonardo.Ai seeks a Senior Research Scientist to join our expanding global AI team.

We're advancing our generative AI platform to empower millions, regardless of expertise, with intuitive tools for creating high-quality images and videos. Now part of Canva, we're ready to build a world-class R&D team to seamlessly integrate AI products, tools, and features, making creativity limitless for nearly a quarter of a billion users.

The Role:

As a Senior Researcher, you will play a pivotal role in building and training new foundational models as we advance further into image, video, 3D, and language modelling. We are working at the cutting edge of what’s possible and pushing every day to go beyond it.

Responsibilities:

  1. Lead Multimodal Research: Spearhead research in multimodal AI, including image, video, 3D, and language modelling. Drive cross-modal innovation to address complex challenges across media types.

  2. Foundational Model Development: Architect, train, and evaluate foundational models.

  3. Research and Application: Work in exploratory phases to gain new insights and apply them to improving model outcomes.

Skills we love you to have:

  1. Multimodal AI Expertise: Experience in text-to-image, video comprehension and synthesis, 3D generation, with knowledge of training LLMs for multimodal applications.

  2. Foundational Model Building and GPU Proficiency: Skill in building foundational models from scratch, leveraging GPU technology for performance and scaling.

  3. Advanced Model Architectures: Background in GANs, transformers, and diffusion models, especially for multimodal applications, keeping up with industry advancements.

  4. Academic and Open-Source Contributions: Record of peer-reviewed publications and contributions to open-source projects.

  5. Technical Proficiency: Expertise in Python, frameworks such as PyTorch or Jax, and cloud computing.

  6. Collaborative Attitude: Strong team player experienced in cross-functional collaboration.

  7. Competitive Edge: Stay ahead of industry trends with AI-based literature, competitors, and emerging technologies. Help maintain our competitive edge in the market by providing insights and recommendations.

  8. Educational Background: PhD or Master’s in AI or similar field with proven research experience.

Our Culture:

  1. Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered.

  2. Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices.

  3. Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals.

  4. Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact.

Next Steps:

If you're passionate about AI research and have a history of implementing AI models, this role might be the perfect fit for you. We encourage you to apply and start the conversation whether you’re based locally in the USA or overseas.

Why Leonardo.Ai?

  1. Shape the Future of AI: Join us in revolutionising content creation and build a platform at the forefront of generative AI.

  2. Hybrid and Remote Options: Flexibility is key. Choose a work arrangement that suits your lifestyle.

  3. Benefits: We offer a generous package including paid parental leave and a wellness budget.

  4. Diversity and Inclusion: We intentionally seek people from a variety of backgrounds to join our team.

Typical Interview Process

While we love technology, our interview process is all human. A Talent team member will review your application, and we'll contact you either way. Here's what you can expect:

  1. Round 1 - Meet Your Recruiter: Our Talent team will arrange a 30-minute video call to discuss your experience and the role.

  2. Round 2 - Craft Interview: You'll meet team members to discuss the technical task and your expertise.

  3. Round 3 - Technical Task: You may be given a short take-home task to assess your skills.

  4. Round 4 - Values Interview: You'll meet with the Department Head for a conversation about your potential impact.

Important Information

If there are any adjustments we can make to make you more comfortable at any point in the interview process, please let us know.

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