Research Scientist, Algo Spark

Research Scientist, Algo Spark corporate_fare Google place Mountain View, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

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

Preferred qualifications:

Knowledge of linear programming with excellent coding skills in Python. Understanding of machine learning algorithms and research. About the job 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. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities 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.