DNEG - Head - Machine Learning

At Brahma, we are building the future of AI-powered creative experiences.

Our team of engineers, researchers and creative technologists is building the operating system for the future of ethical digital storytelling.

We combine award-winning visual effects expertise with cutting-edge generative AI to create tools that empower enterprises and creators to produce high-quality content at scale.

Job Description / Key Purpose of the Job :

The Head of Machine Learning will lead our research and development efforts in generative models with a main focus on multimodal generation, with main focus on video generation but also audio, and language-based models.

This strategic leadership position sits at the intersection of technical expertise and organizational vision, requiring both hands-on experience with generative models and the ability to guide teams toward breakthrough results.

You will be responsible for designing ML architectures and training pipelines, building and managing a skilled technical team, and ensuring research innovations can be successfully implemented in production environments, audio integration, and language model applications.

This includes building systems that coordinate multimodal inputs visual, auditory, and textual- to enable rich, realistic, and controllable outputs for creative and production workflows.

Key Responsibilities / Job Duties :

Research & Development Leadership :

- Define and execute the strategic roadmap for generative ML research aligned with company. objectives.

- Lead research initiatives in multimodal generative models (video, audio, language), temporal. consistency techniques, and multimodal generation with main focus on video generation.

- Design and optimize large-scale training and fine-tuning pipelines for generative models.

- Drive innovation in ML architecture, evaluation methodologies, and performance optimization.

- Balance scientific experimentation with practical business outcomes.

Team Building & Development :

- Build, lead, and mentor a diverse, high-performing ML team.

- Establish clear performance metrics, career development paths, and growth opportunities for

team members.

- Foster a collaborative culture that encourages knowledge sharing, creative problem-solving, and continuous learning.

- Recruit and retain top ML talent through effective leadership and compelling technical Collaboration :

- Partner with product, engineering, and creative teams to integrate ML innovations into

production systems.

- Translate complex ML concepts into accessible terms for non-technical stakeholders.

- Balance research ambitions with practical business needs and timeline constraints.

Technical Strategy & Vision :

- Contribute to the company's overall technical and product strategy.

- Evaluate emerging technologies and methodologies for potential adoption.

- Establish technical standards and best practices for ML development.

- Engage with the external research community through publications, conferences, and

collaboration.

Job Requirements / Must Haves :

- Exceptional leadership, mentorship, and communication skills.

- Proven track record in leading machine learning R&D teams or projects.

- Advanced degree in Computer Science, Machine Learning, AI, or a related field.

- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).

- Deep understanding of AI ethics, fairness, and interpretability.

- Strategic thinking with the ability to define and communicate a compelling vision.

Additional Skills / Nice To Have :

- PhD and/or strong portfolio of published research and patents in top AI conferences and

journals.

- Experience deploying large-scale machine learning models in production.

- Familiarity with cloud platforms and MLOps best practices.

- Proficiency in languages beyond Python, such as C++.

- Able to knit together a high performing distributed team and communicate a consistent vision.

About You :

- Visionary thinker with a passion for advancing the state-of-the-art in AI.

- Collaborative and team-oriented.

- Resilient and adaptable in a fast-paced environment.

- High level of curiosity and commitment to continuous learning.