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- Tasks: Join us to develop cutting-edge generative systems for video and audio synthesis.
- Company: Brahma is a trailblazing AI company under DNEG, focused on innovative AI-native products.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and collaboration.
- Why this job: Be part of a creative team shaping the future of AI in entertainment and storytelling.
- Qualifications: 5+ years in software engineering and machine learning; strong Python and deep learning skills required.
- Other info: Ideal for those passionate about generative AI and eager to mentor others.
The predicted salary is between 54000 - 84000 £ per year.
Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises andcreators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliverstandout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywood’s leadingcreative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.
We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You\’ll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines.
We are looking for a Senior 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
- 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.
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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Senior Machine Learning Engineer (Brahma) employer: DNEG Group
Contact Detail:
DNEG Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (Brahma)
✨Tip Number 1
Familiarise yourself with the latest advancements in generative AI, particularly in audio and video synthesis. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your hands-on experience with deep learning frameworks like PyTorch or TensorFlow by discussing specific projects you've worked on. Be prepared to explain your approach to deploying ML systems in production environments.
✨Tip Number 3
Highlight your ability to mentor junior engineers and collaborate with cross-functional teams. Share examples of how you've successfully communicated complex technical concepts to non-technical stakeholders.
✨Tip Number 4
If you have any open-source contributions or published research, make sure to mention them. This demonstrates your commitment to the field and can set you apart from other candidates.
We think you need these skills to ace Senior Machine Learning Engineer (Brahma)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and machine learning, particularly focusing on your 5+ years of relevant experience. Emphasise your proficiency with deep learning frameworks like PyTorch or TensorFlow, and any specific projects related to generative AI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with Brahma's mission. Mention specific experiences where you've deployed ML systems in production and how you can contribute to building state-of-the-art generative systems.
Showcase Relevant Projects: Include a portfolio or links to projects that demonstrate your skills in training diffusion, transformer, or generative video models. Highlight any open-source contributions or published research in machine learning that showcases your expertise.
Prepare for Technical Questions: Anticipate technical questions related to machine learning fundamentals and your experience with scalable infrastructure. Be ready to discuss your approach to mentoring junior engineers and how you handle cross-functional collaboration.
How to prepare for a job interview at DNEG Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with deep learning frameworks like PyTorch or TensorFlow. Bring examples of projects where you've deployed ML systems in production, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Ability
Brahma values innovative thinkers. During the interview, share specific instances where you've tackled complex problems in machine learning or software engineering. Highlight your thought process and the solutions you implemented.
✨Emphasise Collaboration and Mentorship
As a senior role, you'll need to work cross-functionally and mentor junior engineers. Be ready to discuss your experience in team settings, how you communicate with stakeholders, and any mentoring experiences you've had.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world scenarios, such as optimising ML models or integrating new technologies into existing pipelines. Think through potential challenges and how you would address them effectively.
