Machine Learning Engineer

November 6

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Leonardo.Ai

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Artificial Intelligence • Productivity • SaaS

Leonardo. Ai is a company that leverages advanced artificial intelligence to revolutionize the creation and generation of digital content. Offering a suite of AI-powered tools, Leonardo. Ai enables users to generate art, illustrations, and videos with ease. Their AI Art Generator, AI Video Generator, and other creative tools enhance workflows for graphic design, marketing, photography, and more, making high-quality visual asset creation accessible to beginners and professionals alike. The company also supports a vibrant community of creators and provides various models specialized for diverse artistic and photographic styles.

11 - 50 employees

🤖 Artificial Intelligence

⚡ Productivity

☁️ SaaS

📋 Description

• Collaborate with research scientists to adapt and fine-tune diffusion and transformer-based models. • Run experiments and evaluate model outputs to improve quality and consistency. • Contribute to performance improvements such as batching, caching, or quantisation with guidance. • Help identify bottlenecks and opportunities for generation improvements. • Build and maintain training and inference pipelines. • Work with GPU environments on AWS and Kubernetes. • Use Docker and internal tools to standardise training, experimentation, and deployment. • Contribute to shared APIs and model-serving components. • Support dataset handling, experiment tracking, and model versioning. • Extend monitoring dashboards and alerts to maintain system performance. • Maintain reproducibility across checkpoints, datasets, and experiments. • Work with product teams to support integration of generative features. • Share learnings and contribute to a supportive engineering culture.

🎯 Requirements

• Strong Python engineering skills and familiarity with ML workflows. • Experience with PyTorch or TensorFlow in project, research, or production settings. • Understanding of model training or fine-tuning. • Interest in improving inference performance and efficiency over time. • Clear, thoughtful communication and collaborative working style. • Curious and comfortable learning in unfamiliar technical areas. • Exposure to diffusion, transformer, or video generation models (Nice to Have). • Familiarity with AWS, Docker, Kubernetes, or GPU orchestration (Nice to Have). • Experience with monitoring or observability tooling (Nice to Have). • Open-source, research, or personal ML project contributions (Nice to Have). • Background in creative-tech, ML tooling, or SaaS environments (Nice to Have).

🏖️ Benefits

• Impact the future of AI • Reward package including equity - we want our success to be yours too • Inclusive parental leave policy that supports all parents & carers with 18 weeks paid leave • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more • Flexible leave options that empower you to be a force for good, take time to recharge and support you personally, including remote working abroad • Support with your professional development • Fun and engaging company events, both virtual and in-person • 20 days annual leave