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 and Reinforcement Learning techniques to many types of problems in complex systems, and particularly those with large amounts of noisy data.
This role is only open to PhDs in their penultimate year of study.
You will take on the following responsibilities:
- Develop effective techniques and/or infrastructure for a specific project/idea under guidance of an experienced member of the team over a time of roughly 10 weeks during the summer
- In our research environment, you will write code, use the latest machine learning tools, run experiments, discuss approaches and results with others, and generally develop techniques and processes to help improve our understanding of how financial data influences the world around us
You should possess the following qualifications:
- Working towards a degree in Computer Science, Engineering, or other STEM field, preferably in a PhD program
- Excellent programming skills in Python (familiarity with C++/Java is a plus) and deep knowledge of Tensorflow and/or PyTorch
- Internships/work/course experience using Deep Learning and/or Reinforcement Learning
- Preferably practical experience writing and using data pipelines to handle large amounts of noisy data for machine learning problems
- Preferably some relevant research experience (that may have led to publications at NeurIPS, ICML, ICLR or similar)
- Understanding of basic statistics
- Experience with cloud computing environments and multi-machine setups
- Curiosity and interest in learning about financial data modeling in a collaborative environment
The weekly base pay for this role will be $4,200 based on academic degree conferred. This role may also be eligible for other forms of compensation and/or benefits.
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 committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.