AI Research Scientist - Campus Full-Time

AI Research Scientist – Campus (Full-Time)

Location: NY, New York, United States

Business: Investment Management

Function: Quantitative Research

Experience Level: Early Careers

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, 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 seeking creative experts who are interested in applying general machine learning and, specifically, deep learning (complex neural networks, sequence models, etc.), large language models, and reinforcement learning techniques to a variety of problems in complex systems, particularly those with large amounts of noisy data. This role is open to individuals who are in their final year of an MS program with work experience or pursuing a PhD.

Responsibilities

• Develop effective techniques and infrastructure from initial idea to running prototypes and productionization.
• Write code, use the latest AI/ML tools, run experiments on state-of-the-art infrastructure and in the cloud, and 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 ideas into products.
• Remain connected to the broader research community by partnering with internal and external collaborators and participating in relevant conferences.

Qualifications

• Advanced degree in Computer Science, Engineering, or another STEM field; PhD preferred, or Master’s with 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 frameworks.
• Internships or work experience with Deep Learning, LLMs, and/or Reinforcement Learning.
• Background in machine learning techniques with large amounts of noisy data; curiosity about 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, regression/unit testing, code reviews, and profiling.
• Participation in open source communities is a plus.
• Ability to work well with others in teams.

Benefits

• Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401(k) match, employer-paid life & disability insurance.
• Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms.
• Learning: Tuition reimbursement, conference and training sponsorship.
• Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves.
• Hybrid Work Policy: Flexible in-office days with budget for home office setup.

Compensation

The base pay for this role will be between $200,000 and $220,000. This role may also be eligible for additional compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans, and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation will be determined based on skills, qualifications, and experience.

Equal Opportunity & Accommodations

Two Sigma is proud to be an equal opportunity workplace. We do not discriminate based on 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 legally protected characteristics. We are committed to providing reasonable accommodations to qualified individuals in accordance with applicable laws. If you believe you need an accommodation, please visit our website for additional information.