Assist in the delivery of project milestones and associated scalable deliverables, researching, developing, and testing AI models for smart automation systems and robotics in agricultural environments.
Compensation
Full time Salary Range: £36,320.00 - £46,970.00 per annum
Responsibilities
Research, develop and test AI models for smart automation systems and robotics
Integrate explainability into machine learning architectures
Undertake independent and collaborative research and publish findings in peer-reviewed journals
Manage project-related administrative challenges and produce regular progress reports
Data collection and processing
Requirements
Honours degree or postgraduate qualification in Computer Science, Data Science, AI or a closely related discipline
PhD-level qualification in Computer Science, Data Science, AI or a closely related discipline
As the AI Compliance Lead within RHM Compliance, you’ll play a critical role in supporting Robinhood’s development and implementation of Artificial Intelligence, ensuring that the development and use of AI technologies are transparent, ethical, and compliant with relevant regulations.
Locations (2)
Menlo Park, California, United States
New York, New York, United States
Compensation
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$208,000—$245,000 USD
Responsibilities
Own and continue to build a cross-Robinhood AI compliance program by developing policies & procedures, oversight & testing, governance, and frameworks
Work with cross functional partners to maintain and enhance a formal risk assessment and mitigation program for AI use cases and capabilities
Maintain an enterprise inventory of AI use cases, models, and third-party AI tools, with a risk-tiering and intake process
Evaluate and categorize new AI tools and use cases (intended use, data and controls), and develop new models and templates that speed up onboarding and approval
Postdoctoral Scholar
Lawrence Berkeley National Laboratory · Posted Nov 10, 2026
Develop AI/ML methods for geospatial modeling and analysis of disturbance-driven coastal ecosystem transitions.
Compensation
Salary range: The monthly salary range for this position is $6,790 - $9,234 and is expected to start at $6,790 or above.
Responsibilities
Develop AI/ML methods for geospatial modeling and analysis of disturbance-driven coastal ecosystem transitions.
Integrate and analyze geophysical, microbial, water quality, ecological, hydrological, and remote sensing datasets to understand ecosystem responses and geomorphological processes.
Apply image classification, explainable AI, uncertainty quantification, and upscaling techniques.
Collaborate with interdisciplinary researchers, including modelers and experimental scientists, to achieve project goals.
Publish peer-reviewed articles and technical reports, present findings at conferences, and meet project deadlines.
Requirements
PhD in Geosciences, Earth and Environmental Sciences, Environmental Engineering, or a related field
Director, AI ComplianceNewRobinhood · Menlo Park, US+1 more
Postdoctoral ScholarLawrence Berkeley National Laboratory · Berkeley, US