5 months ago
USA (city not specified)Mid Level / Senior
H1B sponsor
Base Salary
$175k - $250k/yr
Responsibilities
- Develop algorithmic solutions and models for production-ready applications.
- Specialize in natural language processing (NLP) to extract insights from unstructured text data.
- Manage the research process including methodology selection, data collection, and performance evaluation.
- Implement GenAI solutions and contribute to modeling and data preparation.
- Work with sparse data to enhance model accuracy and generalization.
- Collaborate with data engineers and software developers to integrate models into production.
Requirements
- PhD, master's degree, or 4+ years of experience in CS, CE, ML or related fields.
- 6+ years of experience building ML models and developing algorithms.
- Strong proficiency in Python and experience with NumPy, Hugging Face, PyTorch, and spaCy.
- Prior experience with LLMs, foundation models, or large-scale deep learning systems.
- Expertise in working with sparse data and techniques like data augmentation.
- Solid understanding of NLP concepts including tokenization and transformer architectures.
- Experience with data evaluation techniques and model explainability.
- Experience working in a Linux environment.
- Commitment to the highest ethical standards.
Benefits
- Fully-paid health care benefits.
- Generous parental and family leave policies.
- Volunteer opportunities.
- Support for employee-led affinity groups.
- Mental and physical wellness programs.
- Tuition assistance.
- 401(k) savings program with employer match.
About Point72
Point72 is a global alternative investment firm that deploys fundamental and systematic strategies across equities and other asset classes for institutional and qualified investors. The firm earns management and performance fees and also invests partner capital. Founded in 2014 by Steven A. Cohen and headquartered in Stamford, Connecticut, it operates a multi-manager platform with offices worldwide and a large in-house technology organization supporting research, trading, data, and risk.