Senior Research Scientist

Leonardo Interactive Pty; Old Toronto, Montreal, Quebec, Edmonton, Vancouver; On-site; CAD 85,000 - 130,000; Full time

Job summary

Join a forward-thinking company as a Senior Research Scientist, where you'll be at the forefront of generative AI. This role offers an exciting opportunity to lead multimodal research, develop foundational models, and contribute to innovative AI projects that empower creativity for millions. You'll work in a flexible environment that values diversity and inclusion, providing you with the tools and support to grow your career. If you're passionate about advancing AI technology and making a meaningful impact, this position is perfect for you.

Benefits

Paid parental leave

Home office budget

Wellness budget

Remote working from abroad

Flexible work environment

Free lunch on Fridays

Qualifications

• Experience in multimodal AI, including image, video, and 3D generation.
• PhD or Master’s in AI with proven research experience.

Responsibilities

• Lead research in multimodal AI and foundational model development.
• Architect and evaluate foundational models for AI applications.

Skills

Multimodal AI Expertise

Foundational Model Building

GPU Proficiency

Advanced Model Architectures

Academic Contributions

Technical Proficiency in Python

Collaborative Attitude

Competitive Edge Awareness

Education

PhD in AI or similar field

Master’s in AI or similar field

Tools

PyTorch

Jax

Cloud Computing

Job description

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. You will help us maintain our competitive edge in the market by providing insights and recommendations, keeping you challenged and motivated.
8. Educational Background: PhD, 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. At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.
2. 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.
3. 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.
4. 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 for exposure 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 Canada 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, in an award-winning culture.
2. 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.
3. Benefits: We offer a generous package including paid parental leave, a generous home office and wellness budget, and remote working from abroad.
4. 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:

1. 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:

1. 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:

1. 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:

1. 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.