Leonardo.Ai seeks an AI Researcher with interest in Data Operations to join our expanding, global AI team.
This is an exciting opportunity for AI or Machine Learning professionals and academics to join the brightest minds, helping Australia’s most potent AI-powered platform unleash the world’s creativity through our foundational model, Phoenix.
The Role:
You’ll join our AI team, whose mission is to research and develop scalable, high-performing features for our AI-powered creative platform, empowering users with greater authority and influence over their digital artwork.
At Leonardo.Ai, you will play a crucial role in building efficient data collection and loading pipelines, transforming raw data into actionable insights, and driving our SaaS self-serve user base to new heights. Your contributions will be instrumental in developing our next-gen products and the growth of our company.
What you’ll do:
Data Curation: Establish and maintain a robust and scalable data infrastructure to support the efforts of the AI research team. You will understand the AI training architecture to deliver end-point data products that can be ingested into model training to deliver cutting-edge results.
High-Performance Computing: Work with high-performance computing at scale and optimise pipelines for on-time asset delivery.
Data Ops: Curate and deliver peta-scale multi-modal-faceted data to drive AI model training and development. You will read the latest AI-based literature and select the most appropriate models and techniques to apply to our data filtering strategy.
Competitive Edge: Your role will be to stay ahead of industry trends, 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.
Cross-functional Collaboration: Collaborate with product managers and AI engineers to prioritise data features to drive the best output for the product and the customer.
Skills We Love You To Have:
Petascale multimodal data processing.
Knowledge of vector databases, principles of data engineering and pipelines.
Creating classifiers and use of other AI-based tooling for data filtering.
Familiarity with the role of synthetic data.
Excellent communication and collaboration skills across all levels of the business.
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 working
20 days Annual Leave
Six weeks working abroad
Four weeks of gender-neutral paid parental leave
Wellness budget
Home office budget
Training and conference expenses
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, home office and wellness budgets, and remote working from overseas.
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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