The company is looking to solve the problem of accelerating understanding of the world through machine learning, specifically in the area of climate sustainability.
Requirements
- Strong knowledge of financial and probabilistic theory, as applied to financial markets
- 5 years experience with simulations of real-world phenomena
- Understanding of decarbonization and carbon removal technologies, as well as carbon markets
- Fluent in Python, C++, SQL, databases, scripting, Matlab/R, SAS, and data visualization
- Strong knowledge of statistical or machine learning modeling techniques, including Large Language Models
- Experience in using distributed computing resources, such as GCP, AWS, Azure or HPC clusters
- Knowledge of neural modeling, transformers, foundation models, and simulation
Responsibilities
- Develop models of complex natural and socioeconomic systems using neural modeling, transformers, foundation models, and simulation
- Combine diverse datasets and develop tools based on language models and geospatial foundation models to ingest data into a usable form
- Apply modeling skills to design and optimize artifacts based on these models to achieve user goals
- Explore the potential of leading edge neural/foundation modeling techniques to build models of and generative optimization algorithms for real-world modeling tasks
- Rapidly develop prototypes of artificial intelligence, machine learning models applied to sustainability and finance problems
- Apply data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets
- Develop value chain maps, evaluate costs and revenues to assess and recommend areas in which to de-risk the project
Other
- Masters or PhD student in a STEM field
- Very strong strategy and analytical skills
- Ability to gather and analyze large quantities of information, and turn them into insightful business recommendations
- Good at problem stating and problem solving, and turning ambiguous problem spaces into radical solutions
- Excellent communication skills
- Motivated by making the world a better place through technology
- Degree in a science, math, or engineering field (preferred)
- Ability to thrive on ambiguity, setting own goals and effectively delivering them in a fast-changing environment (preferred)
- Adept at influencing without authority, working cross-functionally with different teams in order to drive decision making (preferred)
