Quantitative Software Engineer: Generative AI

Two Sigma; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Two Sigma in New York City seeks a seasoned ML/NLP researcher to lead applied research initiatives around cutting-edge generative AI and to build scalable ML and NLP systems for data-heavy production environments.

You will collaborate with modeling partners to prototype and iterate in evolving NLP research areas, translating research insights into production solutions. Strong Python, PyTorch, and TensorFlow skills, plus a track record in fast-paced teams, are expected.

Qualifications

• Minimum 1 year experience; 3–10 years preferred developing and deploying ML solutions, especially NLP/LLMs
• BS in Computer Science, ML or related field; advanced degrees/publications highly desired
• Proven ability to translate research publications into practical solutions
• Proficiency with Python NLP and deep learning frameworks (PyTorch, TensorFlow)
• Thrives in multi-functional, fast-paced environments
• Ongoing engagement with trends in generative AI

Responsibilities

• Lead applied research initiatives using groundbreaking generative AI technologies
• Implement and maintain scalable ML and NLP systems in data-intensive production environments
• Collaborate with modeling partners to prototype and iterate in emerging NLP research areas

Skills

Generative AI

Research-to-production

Collaborative

Education

BS in CS or related field

Advanced degree / publications desired

Tools

PyTorch

TensorFlow

Python

NLP frameworks

Job description

You will take on the following responsibilities:

• Lead applied research initiatives using ground breaking generative AI technologies
• Implement and maintain scalable machine learning and NLP systems in data-intensive production environments
• Collaborate with modeling partners to prototype and iterate in emerging NLP research areas

You should possess the following qualifications:

• Minimum 1 year of experience required; 3-10 years of experience preferred developing and deploying machine learning solutions, preferably in the areas of NLP and LLMs
• BS in Computer Science, Machine Learning, or related technical field (advanced degrees and/or ML publications highly desired)
• Demonstrated success translating research publications into practical solutions
• Proficiency with popular natural language processing and deep learning frameworks in Python (PyTorch, Tensorflow, etc.)
• Proven track record of thriving in multi-functional, fast-paced environments
• Ongoing engagement with emerging trends, research, and applications in generative AI