Staff Engineer, Developer AI, Machine Learning (m/w/d)

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products.
  
• 5 years of experience in the Machine Learning field.
• 5 years of experience developing with Python.
• 3 years of experience with software design and architecture.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures/algorithms.
• 3 years of experience working in an organization involving cross-functional, or cross-business projects.
• Experience in building products using Machine Learning techniques including Natural Language Processing (NLP).
  

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The focus of Developer AI is to develop novel AI products for software engineers.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.

Responsibilities

• Solve ambiguous technical issues, applying Large Language Models (LLMs) to produce code edits.
• Set the technical direction and goals for the team, to solve use cases for Google. This will often mean engaging with leads in Core and in other PAs to identify opportunities and collaborate effectively.
  
• Collaborate with other DevAI teams, Google DeepMind and Coding Tools teams on prototypes employing new research in Natural Language Processing (NLP) for code, and producing these prototypes. For some prototypes you will identify relevant clients (e.g. specific PAs/teams) who might help iterate on the prototypes by either providing feedback, or in some cases actively engaging in the development. Productionisation will include building data pipelines, potentially ML training and evaluation automation.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.