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Google DeepMindFast-track your ML job hunt :
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Google DeepMind · Singapore
Software Engineering Manager, Applied AI
9/13/2025
Description
- Lead a team in the design and development of scalable software applications leveraging generative AI models.
- Guide the team in rapidly developing new features and iterating based on evaluation results.
- Collaborate with researchers and product managers to translate research advancements into tangible product features.
- Oversee the optimization of software performance and ensure the reliability of deployed applications.
- Champion the development of best practices for building and deploying generative AI applications.
- Lead the architecture and development of new products & features from 0 to 1.
- Mentor and develop team members, fostering a collaborative and high-performing environment.
- Partner with PM team to qualify & size new project opportunities.
Qualifications
- A bachelor degree in computer science, electrical engineering or equivalent experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.)
- 7+ years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.
- Experience with generative AI models and applications.
- Contributions to open-source projects.
- Experience with front-end development.
- Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
- Experience evaluating model performance, analyzing results, and implementing improvements.
- Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
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