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.
About You
- Innovative and solutions driven.
- Embrace challenges
- Adaptable
- Calm under pressure
- Strong communication skills
