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Mid-Level AI Researcher

Leonardo.Ai

Join Leonardo.Ai as a Mid-Level AI Researcher

Leonardo.Ai is seeking a talented 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 collaborate with some of the brightest minds in the industry. Our mission is to unleash the world’s creativity through our foundational model, Phoenix, and you can be a part of this journey.

Role Overview

As a Mid-Level AI Researcher, you will:

  • 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.
  • Work across multiple disciplines in AI Research, including foundational model training, data exploration, systems engineering, optimization, and applied research science.

Key Responsibilities

  • Develop and improve AI models, focusing on model training and optimization.
  • 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 prioritized.
  • Stay up-to-date with emerging tools and techniques in AI, applying them to ongoing projects.

Skills and Qualifications

  • 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.
  • Flexible Work Environment: 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.
  • 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.

Why Leonardo.Ai?

  • Shape the Future of AI: Join us in revolutionizing 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.
  • 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.

Interview Process

Our interview process is designed to be human-centric. Here’s what you can expect:

  1. Meet Your Recruiter: A 30-minute video call to discuss your experience, skills, and career motivations.
  2. Craft Interview: Meet team members to discuss technical tasks, past projects, and career aspirations.
  3. Technical Task: A short take-home task to assess your skills and approach to problem-solving.
  4. Values Interview: Meet with the Department Head to understand your potential impact and alignment with our values and culture.

If you're passionate about AI research and eager to contribute to innovative projects, we encourage you to apply and start the conversation with us.

Benefits
Extracted with AI

  • Paid parental leave
  • Home office budget
  • Wellness budget
  • Remote working from overseas
  • Flexible work environment

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