Machine Learning Engineer

We are looking for a Machine Learning Engineer to join our team and help build state-of-the-art generative systems for video and audio synthesis, performance transfer, and visual translation. This role is hands-on and technical, requiring experience in training and deploying deep learning models, a solid engineering mindset, and the ability to work cross-functionally with research, product, and creative teams. As a senior member of the team, you'll shape core infrastructure, set best practices, communicate with stakeholders, and mentor junior engineers while delivering high-quality ML pipelines in production environments.

Must Haves

• Proven track record of deploying ML systems in production.
• A strong understanding of Machine Learning fundamentals.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with training diffusion, transformer, or generative video models.
• Proficiency in Python.
• Experience building and maintaining scalable infrastructure (AWS, GCP, or custom solutions).
• Familiarity with CI/CD workflows, testing, and development best practices.
• Ability to mentor junior engineers and work independently.

Nice to Have

• Prior experience in generative AI for video, audio, or multimodal content.
• Experience with performance optimisation for ML models and pipelines.
• Background in computer graphics, real-time rendering, or VFX pipelines.
• Open-source contributions or published research in machine learning.
• Entrepreneurial mindset or experience working with startups or fast-paced teams., * Innovative and solutions driven.
• Embrace challenges
• Adaptable
• Calm under pressure
• Strong communication skills