Data Scientist Engineer Intern
About AlphaSense:
AlphaSense provides an AI-powered business insights platform, used by the largest and fastest-growing firms globally. Our mission is to curate and semantically index the world’s financial and market research content, including the vast high-value content sets that traditional web search engines cannot reach. With 1000+ clients, AlphaSense helps knowledge professionals become dramatically more productive, and gain an information edge by discovering critical data points and trends that others miss.
The Role:
We are seeking a brilliant candidate with a passion for deep learning that can learn fast and apply the latest innovations in AI and NLP to the world’s most effective business insights platform.
Responsibilities:
- Develop machine learning models to organize and classify documents
- Extract structured knowledge and key themes from unstructured text
- Define requirements and processes for collecting labeled datasets
- Collaborate with product management to define requirements for applications of machine learning models
- Continuously review the latest academic research to develop new strategies for solving key problems
- Contribute to building standard data processing pipelines
- Evaluate and optimize models for accuracy and speed
- Regularly summarize and present progress and findings to the AI Research team
Requirements:
- Working towards a BS/MS degree in Computer Science, Computer Engineering or equivalent with a high GPA in relevant coursework
- Coursework in Natural Language Processing and Machine (Deep) Learning
- Proficiency in algorithms, data structures and computer science fundamentals
- Experience with topic modeling approaches for organizing unstructured documents
- Proficient working with ML frameworks like PyTorch and Tensorflow
- Demonstrated experience using NLP libraries in Python such as Spacy
- Experiene in using GCP/AWS and scaling with Spark or similar tools a plus
- Experience and interest with financial markets a plus
- Based in New York City for the duration of the internship
- Ambitious, entrepreneurial and excited to learn
- Strong communicator; effective working with business and technical teams
- Excellent organizational, problem-solving, debugging and analytical skills