Leonardo.Ai is seeking a Senior 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.
As a Senior AI Researcher, you will lead foundational training of our Design Models and integrate our breakthroughs into our platform to enhance user experience. This role involves mentoring junior team members and playing a key role in strategic planning.
Responsibilities:
Lead significant projects and mentor junior team members, fostering a collaborative and inclusive environment.
Drive initiatives that advance our current AI capabilities, including our foundational model Phoenix, and ensure the seamless integration of new research into our platform.
Play a pivotal role in strategic planning, guiding the team toward achieving long-term objectives.
Resolve team conflicts and mentor peers, promoting a positive and productive team dynamic.
Oversee strategic decision-making for AI research projects, ensuring alignment with company goals.
Deliver high-quality outcomes that meet or exceed company standards.
Champion diversity and fair treatment within the team and in all research activities.
Own complex problems, lead specific areas, and integrate new research work into the pipeline and workflow.
Collaborate with the entire team to address collective problems and ensure that Research and Product are closely aligned to enhance customer impact.
Develop and maintain AI models, exploring, debugging, and validating them to ensure they work as intended.
Improve data access, utilize generative AI, and develop a pro-innovation approach to AI regulation.
Skills We Like:
Extensive experience in Python, deep learning frameworks, cloud computing, and software engineering.
Knowledge of natural language processing, computer vision, ML model training, and data pipeline model creation.
A team player attitude, capable of collaborating with cross-functional teams.
Curiosity and the ability to stay on top of new and changing tools and techniques in the AI space.
PhD in AI, with experience in data, ML, and AI research.
Proven track record of writing research papers in NLP or CV and contributions to open-source AI code or repositories.
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?Shape the Future of AI: Join us in revolutionising content creation and build a platform at the forefront of generative AI.
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, remote working from overseas and a day off for your birthday.
Diversity and Inclusion: We recognise the importance of having a diverse team. We intentionally seek people from a variety of backgrounds, experiences, and perspectives to join our team. We 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.