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Senior Research Scientist

Leonardo.Ai

Full-time
Australia
python
machine learning
recruiting
cloud
researcher
Apply for this position

Leonardo.Ai seeks a Senior AI Researcher 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 the Canva family, 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:

This is an exciting opportunity for AI and Machine Learning professionals and academics to collaborate with top talent. As a Senior AI Researcher, you will play a pivotal role in building and training new foundational design models as we advance into text-to-video, 3D, and audio generation. 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 text-to-image, video, 3D, and audio generation. 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 Like:

  • Multimodal AI Expertise: Experience in text-to-image, video synthesis, 3D generation, and audio processing, 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.

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

  • Technical Proficiency: Expertise in Python, deep learning frameworks, and cloud computing.

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

  • Curiosity and Adaptability: Ability to stay current with tools and advancements in AI.

  • Educational Background: PhD in AI with research experience in ML or equivalent experience

Our Culture:

  • Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered. At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.

  • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices. We have employees all over Australia, ensuring you can thrive personally and professionally.

  • Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals. You’ll be encouraged to grow and excel in your career at Leonardo AI.

  • Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact, and your contributions will help drive advancements in AI creativity.

Leonardo.Ai Benefits:

  • Impact the Future of AI

  • Competitive salary and equity

  • A day off for your birthday 

  • Remote and hybrid work options

  • 20 days Annual Leave 

  • Six weeks working abroad

  • Four weeks of gender-neutral paid parental leave 

  • Wellness budget 

  • Home office budget 

  • Everyday discounts with Flare 

  • Novated vehicle leasing 

  • Training and conference expenses 

  • Friday meals in the office in Sydney

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

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 Australia or overseas.

Why Leonardo.Ai?

  • Shape the Future of AI: Join us in revolutionising content creation and build a platform at the forefront of generative AI, in an award winning culture.

  • Hybrid and Remote Options: Flexibility is key. Choose a work arrangement that suits your lifestyle and allows you to do your best work. Our hybrid team members meet in the Sydney office 1-2 times per week, with free lunch on Fridays.

  • Benefits: We offer a generous package including paid parental leave, a generous home office and wellness budget, and remote working from abroad.

  • Diversity and Inclusion: We intentionally seek people from a variety of backgrounds, experiences, and perspectives to join our team. We wholeheartedly believe in creating an inclusive environment where every voice we hear contributes to our success.

Typical Interview Process

While we love technology, rest assured that our interview process is all human. A Talent team member will review your application, and we'll contact you either way to let you know the outcome. Here's what you can expect.

Round 1 - Meet Your Recruiter:

  • Our Talent team will reach out and arrange a 30-minute video call where you'll cover your experience, skills, and career motivations. You'll also get essential context about the role, the team, and how you can contribute towards our goals.

Round 2 - Craft Interview:

  • You'll meet some team members to discuss the technical task in more depth, work through some technical questions related to your expertise and cover past projects, experience and career aspirations.

Round 3 - Technical Task:

  • If you're applying for a technical role, you may be given a short take-home task to assess your skills and approach to problem-solving. This could be a real-life business scenario to unpack, a presentation, a test or a collaboration exercise. (Please note, depending on the role, the order of rounds 2 & 3 are interchangeable)

Round 4 - Values interview:

  • You'll be able to meet with the Department Head for a short, informal conversation to understand your potential impact, the growth area we can support, and how aligned you are with our values and culture.

Important Information

If there are any adjustments we can make that would make you more comfortable at any point in the interview process, please don't hesitate to let us know.

Apply for this position
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About the job

Full-time
Australia
5 Applicants
Posted 3 days ago
python
machine learning
recruiting
cloud
researcher

Apply for this position

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Senior Research Scientist

Leonardo.Ai

Leonardo.Ai seeks a Senior AI Researcher 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 the Canva family, 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:

This is an exciting opportunity for AI and Machine Learning professionals and academics to collaborate with top talent. As a Senior AI Researcher, you will play a pivotal role in building and training new foundational design models as we advance into text-to-video, 3D, and audio generation. 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 text-to-image, video, 3D, and audio generation. 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 Like:

  • Multimodal AI Expertise: Experience in text-to-image, video synthesis, 3D generation, and audio processing, 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.

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

  • Technical Proficiency: Expertise in Python, deep learning frameworks, and cloud computing.

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

  • Curiosity and Adaptability: Ability to stay current with tools and advancements in AI.

  • Educational Background: PhD in AI with research experience in ML or equivalent experience

Our Culture:

  • Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered. At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.

  • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices. We have employees all over Australia, ensuring you can thrive personally and professionally.

  • Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals. You’ll be encouraged to grow and excel in your career at Leonardo AI.

  • Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact, and your contributions will help drive advancements in AI creativity.

Leonardo.Ai Benefits:

  • Impact the Future of AI

  • Competitive salary and equity

  • A day off for your birthday 

  • Remote and hybrid work options

  • 20 days Annual Leave 

  • Six weeks working abroad

  • Four weeks of gender-neutral paid parental leave 

  • Wellness budget 

  • Home office budget 

  • Everyday discounts with Flare 

  • Novated vehicle leasing 

  • Training and conference expenses 

  • Friday meals in the office in Sydney

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

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 Australia or overseas.

Why Leonardo.Ai?

  • Shape the Future of AI: Join us in revolutionising content creation and build a platform at the forefront of generative AI, in an award winning culture.

  • Hybrid and Remote Options: Flexibility is key. Choose a work arrangement that suits your lifestyle and allows you to do your best work. Our hybrid team members meet in the Sydney office 1-2 times per week, with free lunch on Fridays.

  • Benefits: We offer a generous package including paid parental leave, a generous home office and wellness budget, and remote working from abroad.

  • Diversity and Inclusion: We intentionally seek people from a variety of backgrounds, experiences, and perspectives to join our team. We wholeheartedly believe in creating an inclusive environment where every voice we hear contributes to our success.

Typical Interview Process

While we love technology, rest assured that our interview process is all human. A Talent team member will review your application, and we'll contact you either way to let you know the outcome. Here's what you can expect.

Round 1 - Meet Your Recruiter:

  • Our Talent team will reach out and arrange a 30-minute video call where you'll cover your experience, skills, and career motivations. You'll also get essential context about the role, the team, and how you can contribute towards our goals.

Round 2 - Craft Interview:

  • You'll meet some team members to discuss the technical task in more depth, work through some technical questions related to your expertise and cover past projects, experience and career aspirations.

Round 3 - Technical Task:

  • If you're applying for a technical role, you may be given a short take-home task to assess your skills and approach to problem-solving. This could be a real-life business scenario to unpack, a presentation, a test or a collaboration exercise. (Please note, depending on the role, the order of rounds 2 & 3 are interchangeable)

Round 4 - Values interview:

  • You'll be able to meet with the Department Head for a short, informal conversation to understand your potential impact, the growth area we can support, and how aligned you are with our values and culture.

Important Information

If there are any adjustments we can make that would make you more comfortable at any point in the interview process, please don't hesitate to let us know.

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