Software Engineering Manager, Applied Machine Learning
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development in either of the (C++ or Python) programming languages.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with one or more of the following: Speech/audio, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Preferred qualifications:
- Experience in working with Machine Learning (ML)/Generative Artificial Intelligence (GenAI) infrastructure.
- Experience with general Machine Learning.
- Experience leading and coaching teams of ML, or Software Engineers.
- Experience as a technical leader with current, hands-on expertise, capable of building strong relationships and developing impactful tools that empower engineers.
- Understanding of ML research and development workflows.
- Ability to work effectively in a fluid environment with a high degree of ambiguity.
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.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Lead a team of Engineers in developing tools that empower Googlers to build agents.
- Collaborate with Research and ML practitioners, identify, develop, and iterate on engineering tools, workflow integrations, user interfaces, and strategies to support user adoption.
- Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
- Set and communicate team priorities aligned with broader organizational goals, while also setting clear individual expectations based on level and role, and provide regular performance feedback and development coaching.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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