Job Description

Minimum qualifications: 5 years of experience in AI research and development Experience coding in one or more programming languages (i.e. Python) One or more Computer Vision publication in conferences, journals, or public repositories Preferred qualifications: PhD in Computer Science or a related field Experience with machine learning and data science algorithms Experience in agriculture or a related field Ability to work independently and as part of a team Excellent verbal and written communication skills About the job Build Ecologically Sustainable Agriculture Solutions for Global South that helps increase farm productivity and reduce climate impact. Agriculture sector is the second largest source of emissions, after energy and is a major source of employment in the global south. Most of these farmers are exposed to climate crises due to increasing droughts and flooding, and loss of yield due to heat stress. Increasing carbon in soil leads to enhanced soil health, soil moisture retention, and reduced dependence on agro-chemicals. The challenge is to build technological solutions that have specific climate and socio-economic value thereby allowing agriculture to leap in the global south. As the Research Scientist you will help us develop cutting-edge AI models for transforming the agriculture industry. We are focused on both long-term (quantifying carbon sequestration) and rapidly productionizable (Agricultural Landscape Understanding [ALU], Agricultural Monitoring and Event Detection) research. Our goal is to build a foundation model that will serve as the single, sufficient base for all other downstream applications that use satellite data for predicting surface properties, with a primary focus on those relevant for agriculture. 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. For United States applicants: The US base salary range for this full-time position is $157,000-$235,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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. 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 Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed. Author research papers to share and generate impact of research results across the team and in the research community. Establish new research directions for computer vision and agriculture research.

foundit