Two Sigma is a leading quantitative investment management and trading firm that applies a scientific approach to investing. They are seeking an AI Research Scientist to develop techniques and infrastructure for predictive models in financial markets, utilizing advanced machine learning methods and collaborating with teams across the company.

Responsibilities

• Develop effective techniques and infrastructure, from the initial idea to the running prototypes and productionization
• You will write code, use the latest AI and Machine Learning tools, run experiments on state-of-the-art infrastructure and in the cloud, and generally develop techniques and processes to build predictive models for financial markets including but not limited to alpha modeling and trading tactics
• Partner with teams across Two Sigma to implement your ideas into our products
• Remain connected to the broader research community by partnering with internal and external collaborators and participate in relevant conferences

Skills

• Advanced degree in Computer Science, Engineering, or other STEM field, preferably in a PhD program, or in a Master's program with some prior work experience
• Excellent programming skills in Python (familiarity with Rust/Java/C++ is a plus) and deep knowledge of Tensorflow/PyTorch/JAX or similar
• Internships/work experience with Deep Learning, LLMs and/or 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 CPU/GPU setups
• Experience with version control systems, regression/unit testing, code reviews, profiling
• Being able to work well with others in teams
• Participation in open source community is a plus

Benefits

• Fully paid medical and dental insurance premiums for employees and dependents
• Competitive 401k match
• Employer-paid life & disability insurance
• Onsite gyms with laundry service
• Wellness activities
• Casual dress
• Snacks
• Game rooms
• Tuition reimbursement
• Conference and training sponsorship
• Generous vacation and unlimited sick days
• Competitive paid caregiver leaves
• Flexible in-office days with budget for home office setup
• Discretionary bonus
• Health, dental and other wellness plans
• 401(k) contributions

Company Overview

Company H1B Sponsorship