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AI Research Scientist Contract
Job Description:
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital. Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems. We are looking for creative experts who are interested in applying general machine learning and specifically deep learning techniques to many types of problems, but particularly those with large amounts of noisy data. You will take on the following responsibilities:
Develop effective techniques and infrastructure, from the initial idea to the running prototype and product
Similar to a research environment, you will write code, use the latest machine learning tools, run experiments, and generally develop techniques and processes to improve our understanding of how financial data influences the world around us
Partner with teams across Two Sigma to implement your ideas into their products
Remain connected to the broader research community by partnering with internal and external collaborators and participate in relevant conferences
Advanced degree in Computer Science, Engineering, or other STEM field
Excellent programming skills in Python, C++, Tensorflow, PyTorch or similar languages
Internships/work experience with machine learning, deep learning, reinforcement learning
Background in machine learning techniques with large amounts of noisy data, curiosity in applying it to financial problems
Relevant research experience (publications at NeurIPS, ICML, ICLR or similar are preferred)
Experience with cloud environments and multi-machine setups
Participation in open source community
You should possess the following qualifications:
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital. Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems. We are looking for creative experts who are interested in applying general machine learning and specifically deep learning techniques to many types of problems, but particularly those with large amounts of noisy data. You will take on the following responsibilities:
Develop effective techniques and infrastructure, from the initial idea to the running prototype and product
Similar to a research environment, you will write code, use the latest machine learning tools, run experiments, and generally develop techniques and processes to improve our understanding of how financial data influences the world around us
Partner with teams across Two Sigma to implement your ideas into their products
Remain connected to the broader research community by partnering with internal and external collaborators and participate in relevant conferences
Advanced degree in Computer Science, Engineering, or other STEM field
Excellent programming skills in Python, C++, Tensorflow, PyTorch or similar languages
Internships/work experience with machine learning, deep learning, reinforcement learning
Background in machine learning techniques with large amounts of noisy data, curiosity in applying it to financial problems
Relevant research experience (publications at NeurIPS, ICML, ICLR or similar are preferred)
Experience with cloud environments and multi-machine setups
Participation in open source community
You should possess the following qualifications:
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
