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Leonardo.Ai

Senior Research Scientist

Posted 11 Days Ago
Be an Early Applicant
Remote
8 Locations
Senior level
Remote
8 Locations
Senior level
Lead multimodal AI research, architect foundational models, and apply advanced techniques in AI for images, video, and language. Collaborate in a cutting-edge environment.
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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:

  • 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

  • Foundational Model Development: Architect, train, and evaluate foundational models 

  • Research and Application: Working in exploratory phases to gain new insights and apply them to improving model outcomes

Skills we love you to have:

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

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

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

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

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

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

  • Competitive Edge: Stay ahead of industry trends with AI based literature, competitors, and emerging technologies. You will help us maintain our competitive edge in the market by providing insights and recommendations, keeping you challenged and motivated

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

What's in it for you?

A range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer:

  • Impact the future of AI

  • Healthcare Insurance

  • Reward package including equity - we want our success to be yours too

  • Inclusive parental leave policy that supports all parents & carers with 18 weeks paid leave

  • An annual Vibe & Thrive allowance to support your well-being, social connection, office setup & more

  • Flexible leave options that empower you to be a force for good, take time to recharge and support you personally, including remote working abroad

  • Support with your professional development

  • Fun and engaging company events, both virtual and in-person

  • 20 days annual leave

We're committed to building a diverse, safe and inclusive environment where employees can be authentic and teams collaborate effectively to bring innovative ideas to life.

Next Steps:

If you're passionate about reading and publishing AI research papers, have a history of implementing AI models (open source/ proprietary), and are keen to be exposed to bringing models to production, this role might be the perfect fit for you.

We encourage you to apply and start the conversation whether you’re based locally in USA or overseas.

Top Skills

Cloud Computing
Gpu Technology
Jax
Python
PyTorch
HQ

Leonardo.Ai Sydney, New South Wales, AUS Office

Sydney, New South Wales, Australia, 2000

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