Senior Software Engineering Manager, Applied Machine Learning

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Minimum qualifications:

• 5 years of experience building and architecting, production quality ML systems, especially in applied machine learning.
• 5 years of experience with AI/ML algorithms and tools, Large Language Model (LLMs), or other multimodal foundation models and natural language processing.
• 5 years of development experience with JAX, PyTorch, or TensorFlow.
• Experience programming in C , Python, or Java and leading and managing projects from initiation to completion.

Preferred qualifications:

• 3 years of experience building model optimization pipelines using quantization and distillation techniques.
• 3 years of experience integrating ML, neural networks (including sequence/transformer modeling experience in other domains like perception or speech) or genAI into commercial products.
• Ability to be involved in the ML community through publications, open-source contributions, or conference participation.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

As a Senior Software Engineering Manager, you will lead the development of our GenAI development platform. You will play a pivotal role in ensuring that Google products are able to seamlessly incorporate the latest GenAI models into their software development lifecycle.

In this role, you will cultivate an environment of collaboration and continuous innovation. This is your chance to shape the future of Applied Machine Learning (ML) and push the boundaries of what's possible with agent-based technologies, leaving a lasting impact on the field.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities

• Build a high-performing team of engineers and researchers with expertise in applying ML (multi-agent systems, prompt engineering, model optimization, etc.) into emerging and existing consumer products.
• Collaborate with stakeholders (including other Google product areas, Google Research, and DeepMind organizations) to identify emerging technology related to AI and generative AI and develop a strategic plan for translating these into practical solutions for Google products.
• Provide technical leadership and mentorship to team members, fostering their growth and development in the applied ML space.