Support key initiatives spanning Research and other investment and client service teams across Dimensional, designing and building systems and processes to improve operational efficiencies, running empirical analysis on a broad scope of investment topics, and maintaining data sets and tools key to portfolio decision making.
Responsibilities
Execute and analyze simulations for research on asset pricing models and economics studies.
Compile and manage large data sets from multiple sources.
Execute regular validations to ensure inputs to research, portfolio management, and client reporting are appropriate and accurate.
Review academic papers to improve our understanding of asset pricing and academic landscape. Identify opportunities to further our research agenda and conduct analyses. Present findings to internal research teams.
Coordinate with investment and client service teams to answer internal and client questions.
Requirements
Bachelor’s degree in Finance/Economics, Mathematics, Statistics, Computer Science, Engineering, or a related field. Master’s degree preferred.
Lead technical design, development, and deployment of autonomous and semi-autonomous robotics systems for construction and industrial equipment.
Compensation
$162,540.00 - $264,120.00
Responsibilities
Define, develop, and bring to production technologies enabling autonomous and semi-autonomous machines
Translate complex customer and machine problems into well-defined technical problems
Evaluate classical robotics and modern learning-based approaches
Rapidly prototype solutions and lead them through integration, validation, and production deployment
Provide technical leadership across robotics systems including perception, sensor fusion, localization and mapping, planning, controls, machine integration, simulation, and intelligent autonomous behaviors
Requirements
Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field
As a Data Science Intern at Enveda, you will join our Data Science team and work on machine learning for mass spectrometry, computational biology, and computational chemistry.
Locations (2)
United States
Canada
Compensation
Compensation per month: US - Masters ($5000 USD), PhD ($6000 USD) & Canada - Masters or PhD ($8500 CAD)
Responsibilities
Learn how to develop data-driven solutions tailored to the drug discovery industry as part of our Data Science team
Collaborate on machine learning for mass spectrometry
Collaborate on computational biology and computational chemistry
Lead design, development, and implementation of state estimation algorithms for mobile manipulation robots.
Responsibilities
Design, develop, and integrate robust high-throughput low-latency state estimation, pose estimation, mapping, and reconstruction algorithms for real-world robotic systems
Build simulation-based and on-robot evaluation
Build and maintain algorithms and workflows for intrinsics and extrinsics sensor calibration as well as hand-eye calibration
Translate business and operational requirements into well-scoped technical work packages and execution plans
Collaborate cross-functionally with controls, platform, and hardware engineers to ensure system-level success
Requirements
PhD or Master’s degree
Nice to have: 8+ years of professional software engineering experience
Lead the design, development and implementation of Responsible AI capabilities across the Commonwealth Bank Group, providing technical leadership and guiding architecture, risk controls, and delivery practices for Generative and Agentic AI systems.
Responsibilities
Provide technical leadership in the design, development and implementation of world‑class evaluation and assurance capabilities for Generative and Agentic AI
Partner with engineering, data science, risk and policy teams in designing and delivering Responsible AI capabilities
Partner with risk and policy teams in building and operating formal risk controls
Establish executive risk reporting for senior leadership
Apply statistical methods and structured problem solving to complex Responsible AI challenges
Requirements
Tertiary qualification in Data Science, Statistics, Computer Science, Engineering, Mathematics or a related discipline
Lead a data science team focused on Responsible AI across the Commonwealth Bank Group, shaping technical direction and delivering capabilities for Generative and Agentic AI.
Responsibilities
Lead and develop a team of data scientists through coaching, knowledge sharing, technical guidance and collaboration
Lead the design, development and implementation of world-class evaluation and assurance capabilities for Generative and Agentic AI
Partner with engineering, data science, risk and policy teams in designing and delivering Responsible AI capabilities
Partner with risk and policy teams in building and operating formal risk controls
Establish executive risk reporting
Requirements
Tertiary qualification in Data Science, Statistics, Computer Science, Engineering, Mathematics or a related discipline
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