NLP Engineer

Job Description

Cubist Data is seeking a skilled NLP Engineer to join their team. This role offers the opportunity to develop expertise in the financial industry and contribute significantly to the company's success.

Responsibilities:

• Build state-of-the-art deep learning models to process large-scale unstructured datasets.
• Engage with vendors to understand dataset characteristics.
• Analyze datasets to generate descriptive statistics and propose potential applications.
• Conduct preliminary research and evaluation on datasets.
• Research new technologies for efficient data management and retrieval.

Requirements:

• PhD or Master’s degree in computer science, data science, statistics, or a related field.
• Bachelor's degree with extensive relevant work experience will also be considered.
• At least 3 years of experience in NLP, computer vision, speech, or a related field.
• Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• In-depth understanding of modern language model architectures.
• Excellent coding skills in Python.
• Programming skills in SQL.
• Experience working with large datasets.
• Strong oral and written communication skills.
• Strong team player.
• Financial industry experience preferred but not required.
• Candidates with top machine learning conference papers are preferred.
• Commitment to the highest ethical standards.