Google Hiring for Software Engineer, Machine Learning Job at London, England Full Time

Experience in software development and with data structures/algorithms

Experience with C++, Python, and Machine Learning libraries (e.g., JAX, TensorFlow, PyTorch, etc.)

Preferred qualifications:
Master’s degree in Computer Science or a related field

Experience with machine learning experiment design and data analysis

Experience with software engineering in large scale systems

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.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field — we publish regularly in academic journals, release projects as open source, and apply research to Google products. Responsibilities

Provide knowledge about infrastructure, and the lifecycle of a machine learning project.

Build infrastructure, machine learned models, and systems supporting the team’s research, working closely with researchers and software engineers in NLP/NLU teams.

Work on product engagements and contribute to long-term research that leads to external publications.

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 .