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Senior Research Scientist

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

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.

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.

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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Average salary estimate

$150000 / YEARLY (est.)
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$120000K
$180000K

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What You Should Know About Senior Research Scientist, Leonardo.Ai

At Leonardo.Ai, we're on the lookout for a dynamic Senior Research Scientist to join our ambitious global AI team. With our roots firmly planted in innovation, we're pushing the boundaries of generative AI to empower millions through intuitive tools designed for creating top-notch images and videos. As part of the Canva family, our goal is to build a world-class R&D team that seamlessly integrates cutting-edge AI products, tools, and features—enabling creativity for nearly a quarter of a billion users. In this exciting role, you’ll spearhead groundbreaking multimodal research, diving into image, video, 3D, and language modelling. Your expertise will be crucial in architecting, training, and evaluating foundational models that are pivotal to our success. We’re all about exploration and innovation, ensuring your days are filled with learning and impactful work. If you're passionate about contributing to AI advancements and thrive in collaborative environments, this Senior Research Scientist position at Leonardo.Ai is tailor-made for you. Plus, we foster an inclusive culture that celebrates diversity and flexibility in the workplace, making sure you're equipped to excel both personally and professionally. Here, you won’t just work on tasks; you’ll be pivotal in shaping the future of AI and motivating our creative vision!

Frequently Asked Questions (FAQs) for Senior Research Scientist Role at Leonardo.Ai
What does a Senior Research Scientist do at Leonardo.Ai?

As a Senior Research Scientist at Leonardo.Ai, you’ll play a crucial part in developing and advancing multimodal AI tools that include image, video, 3D, and language modelling. You'll lead research initiatives, architect new foundational models from the ground up, and engage in groundbreaking explorations that enhance our creative technology offerings.

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What skills are required for the Senior Research Scientist position at Leonardo.Ai?

The ideal candidate for the Senior Research Scientist role at Leonardo.Ai should possess expertise in multimodal AI, foundational model building, and advanced model architectures, such as GANs and transformers. Technical proficiency in languages like Python and frameworks such as PyTorch or Jax is essential, along with a strong collaborative attitude.

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What is the company culture like at Leonardo.Ai for Senior Research Scientists?

At Leonardo.Ai, the culture for Senior Research Scientists is built around inclusivity, innovation, and flexibility. We prioritize a supportive work environment where diverse ideas and experiences contribute to our collective success. Plus, we offer flexible work arrangements to help you thrive both personally and professionally.

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What can I expect from the interview process for Senior Research Scientist at Leonardo.Ai?

The interview process for the Senior Research Scientist position at Leonardo.Ai includes several rounds that focus on getting to know you and your skills more deeply. You will start with a conversation with our Talent team, followed by technical discussions with team members, and conclude with an informal values interview with the Department Head.

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Are there remote work options available for the Senior Research Scientist role at Leonardo.Ai?

Absolutely! At Leonardo.Ai, we understand the importance of flexibility. Senior Research Scientists can enjoy a hybrid work model, allowing you to work remotely while occasionally meeting at our offices, fostering a balance that suits your lifestyle.

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What opportunities for career growth exist for Senior Research Scientists at Leonardo.Ai?

Leonardo.Ai is committed to empowering the continuous growth of its employees. As a Senior Research Scientist, you’ll have access to tailored career development opportunities, including training in advanced AI topics and contributions to significant projects that shape the industry.

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What technologies will I work with as a Senior Research Scientist at Leonardo.Ai?

As a Senior Research Scientist at Leonardo.Ai, you’ll work with cutting-edge technologies such as generative adversarial networks (GANs), transformers, and diffusion models, leveraging GPU technology for performance. Familiarity with cloud computing and advanced AI frameworks will also be essential.

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Common Interview Questions for Senior Research Scientist
Can you describe your experience with multimodal AI and its applications?

When answering this question, outline specific projects where you implemented multimodal AI, detailing the technologies used (like text-to-image and video synthesis) and the outcomes achieved. Discuss how you overcame challenges and your understanding of the nuances involved in working across different media types.

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How do you approach the architecture and training of foundational models?

In your response, express your methodical approach to building foundational models, including your process for architecting, training, and evaluating these models. Highlight any frameworks or methodologies you've employed successfully in past roles, specifically focusing on your problem-solving skills.

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What are some recent trends in AI that excite you?

Share insights about current trends like advanced GAN architectures, emerging ethical considerations in AI, or specific innovations in generative models. Discuss how these trends could potentially influence your work as a Senior Research Scientist at Leonardo.Ai and align with the company’s goals.

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How do you stay current with AI research and technology advancements?

Discuss your preferred methods for keeping up-to-date with AI, whether through academic journals, attending conferences, or participating in online communities. Explain how this ongoing learning benefits your work and contributes to your innovative approach as a Senior Research Scientist.

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Can you give an example of a complex AI challenge you've faced?

Here, detail a specific challenge involving multimodal AI, including the problem’s context and your role in addressing it. Explain how you utilized your expertise to analyze the situation, propose solutions, and the ultimate impact of your work.

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Describe your experience with open-source contributions.

Mention specific open-source projects you’ve contributed to, outlining your role and the skills you used. Discuss the significance of these contributions in the context of the broader AI community and how they reflect your collaborative spirit as a Senior Research Scientist.

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How important is teamwork in the research process, and how do you foster collaboration?

In your response, emphasize the importance of cross-functional collaboration in research. Highlight techniques you've used to facilitate collaboration, such as regular sync-ups or knowledge-sharing sessions, and provide examples of successful projects achieved through teamwork.

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How do you handle setbacks or failures in your research?

Share your perspective on setbacks, emphasizing their role in the research process. Describe a specific example of a failure you've encountered, discussing how you assessed and learned from it, and how this has informed your subsequent approaches to research.

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What is your philosophy regarding publishing research findings?

Discuss your belief in the importance of disseminating knowledge through publications. Provide examples of papers you've authored or collaborated on, and explain how this commitment aligns with Leonardo.Ai's focus on advancing the field of AI.

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Why do you want to work at Leonardo.Ai as a Senior Research Scientist?

Here, express your enthusiasm for Leonardo.Ai’s mission and collaborative culture. Discuss how your skills and experiences align with the company’s goals, and what excites you about being part of a team that pushes the boundaries of creativity through AI.

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Full-time, hybrid
DATE POSTED
November 27, 2024

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