Staff Software Engineer, Machine Learning

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Mountain View, CA, USA; Cambridge, MA, USA; New York, NY, USA.
Remote location(s): United States.

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.

• Experience with C++, Flume, Borg, and ML systems HCI, Data Mining, etc.).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 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.
• 2 years of experience in either neural modeling of ranking/text/image, or Search ranking 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.

In this role, you will join the Responsible AI organization within Google Research. We make Google’s products more responsible (https://ai.google/principles/) with machine learning research and collaboration with product teams. Our team lands launches across Google products and publishes academic papers. You will focus on tremendous opportunities within Google Search systems. You will ensure people of diverse backgrounds are represented in search results, help users with no technical expertise understand why each search result is relevant to them, and collaborate with Search system teams, delivering impact via product launches and navigating rule-based/neural ranking systems and underlying neural text/image models.

At Google, our users come first, and the Systems Infrastructure team is at the heart of that promise. We build the technologies that transform the way we think about doing business. Whether working on our cloud systems, researching the latest in computer technology or keeping Google's internal systems humming, Googlers and users alike rely on us to keep things running. We're back-end experts: protecting your privacy and ensuring your security.

Additional Information
(Colorado only*) Minimum salary range between $168,000 - $181,000 + bonus + equity + benefits. *Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.

Responsibilities

• Lead collaboration with search systems across Google products to align problem definitions and project plans for measuring and remediate Responsible AI problems.
• Design, guide, and vet systems designs, contribute to novel ML research, and write product or system development code to ensure the solution is effective in real production systems.
• Partner with Research Scientists to foster research that can be impactful in products and to bring research to product engagements.
• Mentor and train other team members on system design, ML modeling, and coding techniques relevant to the problem space.
• Work in ambiguous defined problems to deliver high quality and innovative algorithmic and engineering solutions.

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.