Senior Machine Learning Engineer (Brahma)
- 5+ years of experience in software engineering and machine learning.
- Proven track record of deploying ML systems in production.
- A strong understanding of Machine Learning fundamentals.
- Strong 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.
- 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
We are DNEG, one of the world's leading visual effects and animation companies for the creation of award-winning feature film,television, and multiplatform content. We employ more than 9,000 peoplewith worldwide offices and studios across North America (Los Angeles,Montréal, Toronto, Vancouver), Europe (London), Asia (Bangalore, Mohali,Chennai, Mumbai) and Australia (Sydney).
At DNEG, we fundamentally believe that embracing our differences is a vital component of our collective success. We are committed to creating an equitable, diverse and inclusive work environment for our global teams, where everyone feels they matter and belong. We welcome and encourage applications from all, regardless of background, experience or disability. Please let us know if you need any adjustments or support during the application process, we will do our best to accommodate your needs. We look forward to meeting you!
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