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
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
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