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Google Looking for Staff Software Engineer, Health and Wellness, Google Research at Seattle, WA Full Time
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Seattle, WA, USA; Bellevue, WA, USA; Kirkland, WA, USA.
Seattle, WA, USA; Bellevue, WA, USA; Kirkland, WA, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience
- 8 years of experience in software development, and with data structures/algorithms
- 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience
- 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing
- 3 years of experience in a technical leadership role leading project teams and setting technical direction
- 3 years of experience working in a complex, matrixed organization involving cross-functional and/or cross-business projects
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.
We’re an applied research team with a mission to improve health and well-being with on-device intelligence, while safeguarding privacy. We collaborate with other Google Research groups and work closely with product teams to deploy research and prioritize privacy-preserving ML techniques such as federated learning, and uphold Google’s AI principles, including proactively addressing potential issues of ML fairness and bias.
Our work applies a broad range of ML techniques and research areas, including supervised/unsupervised learning, reinforcement learning, and federated learning, among others.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world’s fast-paced business needs.
Responsibilities
- Work on applied research to advance our health and safety mission
- Mentor and train other team members on system design, machine learning modeling, and coding techniques
- Partner with Research Scientists to foster research that can be impactful in products and to bring research to support product engagements
- Provide technical leadership in an applied research setting
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.
