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AI Research Scientist - Campus Full-Time

Two Sigma
🇺🇸New YorkMediorFull-time$200k–$220kPosted March 26, 2026

About the Role

Two Sigma is a leading quantitative investment management and trading firm applying a scientific approach to investing through cutting-edge technology, artificial intelligence, data science, and quantitative research. This role focuses on applying Machine Learning, Deep Learning, Large Language Models, and Reinforcement Learning techniques to complex systems with large amounts of noisy data.

  • Develop effective techniques and infrastructure from initial idea to running prototypes and productionization
  • Write code, use latest AI and Machine Learning tools, run experiments on state-of-the-art infrastructure, and develop techniques to build predictive models for financial markets
  • Partner with teams across Two Sigma to implement ideas into products
  • Remain connected to broader research community through collaborations and conference participation

Responsibilities

  • Develop effective techniques and infrastructure, from the initial idea to the running prototypes and productionization
  • 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

Requirements

  • Advanced degree (MS or PhD) in Computer Science, Engineering, or other STEM field, preferably in a PhD program or Master's program with prior work experience
  • Excellent programming skills in Python with familiarity in Rust/Java/C++ preferred
  • Deep knowledge of Tensorflow/PyTorch/JAX or similar frameworks
  • Internships/work experience with Deep Learning, LLMs and/or Reinforcement Learning
  • Background in Machine Learning techniques with large amounts of noisy data
  • Experience with cloud environments and multi-machine CPU/GPU setups
  • Experience with version control systems, regression/unit testing, code reviews, profiling
  • Must be in final year of MS with work experience or PhD program

What You'll Get

  • $200k–$220k base salary
  • Fully paid medical and dental insurance premiums for employees and dependents
  • Competitive 401k match
  • Employer-paid life and disability insurance
  • Onsite gyms with laundry service
  • Wellness activities
  • Casual dress
  • Snacks and game rooms
  • Tuition reimbursement
  • Conference and training sponsorship
  • Generous vacation and unlimited sick days
  • Competitive paid caregiver leaves
  • Flexible in-office days with home office setup budget