Staff Software Engineer, Applied Machine Learning, Domain Solutions

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; Bellevue, WA, 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.

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.

• Experience in building and deploying models in products.

• Experience in TensorFlow and/or JAX.

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 Domain Solutions team's mission is to provide a well-lit path to accelerate cutting-edge research to production by providing standardized and efficient ML solutions in key domains like Natural Language Processing, Computer Vision, and Recommendations.

Our solutions empower a wide range of Google products across many product areas, including Search, Ads, YouTube, Geo, Google Cloud, Waymo, and more to land ML-based innovations with significant quality, performance, and productivity. Domain Solutions is part of Google's Core ML organization, which is the center gravity of Google's ML infrastructure and solution efforts.

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.

Additional Information

(Colorado only*) Minimum full-time 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

• Design efficient ML models and distillation/compression/pruning algorithms that can be deployed to server and mobile use cases     

• Apply and productionize state-of-the-art large language and multi-modal research

• Collaborate closely with researchers and ML engineers across product areas to build critical features

• Identify new opportunities to speed up production ML workflows and create and execute on technical road maps

• Understand the gaps to flow research to production, identify pain points and challenges, and develop advanced ML technologies and tools to fill the gaps 

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.