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Generative Media Machine Learning EngineerLeonardo • United States
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Generative Media Machine Learning Engineer

Leonardo
  • US
    United States
  • US
    United States
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À propos

Join Leonardo.Ai, part of the Canva family, and be a part of one of the world's leading generative media platforms that empowers millions to transform their ideas into high-quality visuals and videos with ease. As we expand our global R&D team, we are seeking a Machine Learning Engineer who is eager to dive hands-on into model development and ML systems, learn, implement impactful features, and grow within a collaborative and dynamic environment. You will become a key member of the AI Engineering team within the Platform Tribe, focusing on building training pipelines, inference systems, and model-serving tools that enable reliable AI-powered creative experiences at scale. Your contributions will support features like high-fidelity image generation, stylization workflows, and innovative image-to-video capabilities, translating the latest research into practical creative tools. This role provides extensive exposure to generative ML technologies, including diffusion and transformer models, and will enhance your skills in performance optimization, GPU environments, and reproducible workflows. You'll collaborate closely with senior ML engineers and research scientists, gaining insight and taking on more responsibilities as you develop. If you're passionate about generative media and want to enhance both your modeling and engineering expertise, this is the perfect opportunity for you! What You'll Do
Model Development and Evaluation: Work alongside research scientists to adapt and optimize diffusion and transformer-based models. Conduct experiments and assess model outputs to enhance quality and consistency. Contribute to performance improvements like batching, caching, or quantization with guidance from mentors. Identify bottlenecks and explore opportunities for generation enhancements. ML Engineering and Systems Development: Build and maintain robust training and inference pipelines. Utilize GPU environments in AWS and Kubernetes for optimal performance. Implement Docker and internal tools to standardize training, experimentation, and deployment processes. Contribute to the development of shared APIs and model-serving components. MLOps and Reliability: Assist with dataset handling, experiment tracking, and model versioning to support our workflows. Enhance monitoring dashboards and alerts to ensure system performance remains high. Guarantee reproducibility across checkpoints, datasets, and experiments. Cross-Team Collaboration: Partner with product teams to facilitate the integration of generative features. Share insights and participate in fostering a supportive engineering culture. Skills We Value
Strong Python programming skills complemented by familiarity with ML workflows. Experience with PyTorch or TensorFlow in project, research, or production contexts. Understanding of model training and fine-tuning processes. Commitment to ongoing improvement of inference performance and efficiency. Effective communication skills and a collaborative work style. A curious mindset, eager to learn in new technical areas. Why You'll Love Working Here
At Leonardo.Ai, you will develop technology that significantly enhances human creativity at scale. This isn't just about optimizing models; it's about influencing how individuals express ideas, share stories, and create art. You'll be part of a team that values thoughtful engineering, mutual support, and steady growth over personal accolades. We encourage exploration, questioning, and deepening your knowledge in areas that truly inspire you. Our work culture fosters curiosity, careful building, and collaborative learning. Our Culture:
Inclusive Culture:
We celebrate diversity and are committed to fostering an inclusive atmosphere where everyone feels respected and empowered. Your unique perspectives are vital to our success. Flexible Work Environment:
We prioritize work-life balance, offering the flexibility to work remotely or in our vibrant offices across New Zealand. Empowering Growth:
Your development is paramount. We provide ongoing learning opportunities and career growth tailored to your aspirations. Impactful Work:
Join us in shaping AI's future through innovative projects that make a difference in the world. Leonardo.Ai Benefits:
A comprehensive array of benefits designed to set you up for success, both professionally and personally, including: Opportunities to impact the future of AI. A competitive reward package featuring equity, aligning your success with ours. An inclusive parental leave policy offering 18 weeks of paid leave for all parents and caregivers. An annual Vibe & Thrive allowance to support wellbeing and social connections. Flexible leave options for personal time off and remote work abroad. Support for your ongoing professional development. Engaging and enjoyable company events, both virtual and in-person. 20 days of annual leave to recharge.
  • United States

Compétences linguistiques

  • English
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