Developer AI Engineering Manager, Machine Learning
Location
Sunnyvale, CA | United States
Job description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C , Java, JavaScript).
- 7 years of experience with research or applied AI (e.g., deep learning, natural language processing).
- 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
- 3 years of experience in a team management or leadership role.
Preferred qualifications: - Experience with research or applied AI and building foundation models in software development or equivalent domain.
- Experience building or landing deep learning/LLM-based products or platforms.
- Experience with prompt engineering.
- Excellent programming skills in Python, C , Java or equivalent.
About the job Like Google's own ambitions, the work of a Software Engineer goes way 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.
The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $185,000-$283,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities - Lead research explorations and/or applied AI efforts to develop Generative AI in partnership with Google DeepMind, and Technical Infrastructure to transform software development workflows at Google (e.g., AI assisted coding, AI assisted debugging, AI assisted testing, AI chat agent as a collaborator on all tasks through a developer's entire journey.)
- Collaborate with Google DeepMind, Developer AI Applied Research and Google partner teams (e.g., Search, Ads, Cloud, YouTube, etc.) to aim, explore and deliver new Generative AI capabilities to improve developer's workflow.
- Collaborate with Developer AI Platform teams to enable delivery of new Generative AI capabilities at Google scale.
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