Research Scientist, Algo Spark

Google Mountain View, CA, USA

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• Experience with Machine Learning Algorithms.
• One or more scientific publication submissions for conferences, journals, or public repositories such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.

• Knowledge of linear programming combined with excellent coding skills in Python.
• Understanding of machine learning algorithms and research.

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work.

As a Research Scientist, you will set up large‑scale tests and deploy promising ideas quickly and broadly, manage deadlines and deliverables, and apply the latest theories to develop new and improved products, processes, or technologies.

From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real‑world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, core search and much more.

In this role, you will develop new algorithms covering various topics including privacy and machine learning, push new directions in Artificial Intelligence for mathematics and theoretical research, and take insights from research into Google products across different Product Areas.

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. 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.

• Design and develop algorithms.
• Push new directions in artificial intelligence (AI) for mathematics and theoretical research.
• Take insights into Google products.
• Publish high‑quality research at conferences (e.g., NeurIPS, ICML, ICLR, StOC, FOCS) to maintain Google's leadership in the global scientific community.

The US base salary range for this full‑time position is $147,000–$211,000 plus bonus, equity and benefits. Salary ranges are determined by role, level and location, and within the range, individual pay is determined by work location and additional factors including job‑related skills, experience and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Google is a global company. English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Google is proud to be an equal‑opportunity and affirmative‑action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related condition—including breastfeeding, expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.