Leonardo.Ai seeks a Mid-Level AI Researcher 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:
As a Mid-Level AI Researcher, you’ll collaborate with your team to develop and refine our Design Models, contribute to critical research initiatives, and integrate breakthroughs into our platform to enhance the user experience.
We are hiring across multiple disciplines in AI Research and welcome candidates with backgrounds in foundational model training, data exploration, systems engineering, optimisation, and applied research science.
Responsibilities:
Contribute to developing and improving AI models, focusing on areas like model training and optimisation.
Collaborate with team members to integrate research into our platform, enhancing features like generative models.
Assist in data exploration, debugging, and validation to ensure models perform as expected.
Work closely with cross-functional teams to ensure research aligns with company goals.
Contribute to a collaborative, inclusive team environment where diversity and fair treatment are prioritised.
Stay up-to-date with emerging tools and techniques in AI, applying them to ongoing projects.
Skills We Like:
Proficiency in Python, deep learning frameworks, cloud computing, and software engineering.
Strong knowledge of natural language processing, computer vision, ML model training, and data pipeline model creation.
A team-oriented mindset with the ability to collaborate across disciplines.
Eagerness to stay updated on new advancements in the AI space.
Bachelor's or Master’s degree in AI or related field, with experience in data, ML, and AI research.
Experience with research papers or contributions to open-source AI projects is a plus.
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 Canada or overseas.
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.
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.
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.
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.
