AI Research Engineer

About AlphaSense:
AlphaSense is a market intelligence platform used by the world's leading companies and financial institutions. Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including company filings, event transcripts, news, trade journals, and equity research. Our platform is trusted by over 1,800 enterprise customers, including a majority of the S&P 500. Headquartered in New York City, AlphaSense employs over 450 people across offices in the U.S., U.K., Finland, and India. For more information, please visit www.alpha-sense.com.Check out what we’ve built so far: https://www.youtube.com/watch?v=a8cCzRouYyk
What You’ll Do:

• Develop highly scalable deep learning and natural language processing models and take them all the way to production
• Work closely with cross-functional teams to translate product requirements into machine learning algorithms and architectures
• Work with other AI researchers to perform cutting edge research in deep learning, machine learning & natural language processing
• Own systems end-to-end including design, code, training, testing, deployment and iteration

Who You Are:

• You possess an advanced degree in Computer Science, Computer Engineering or relevant field from IITs/NITs/BITS or other Tier I colleges with a focus on machine learning, but equivalent industry experience may be considered.
• An expert in machine learning and deep learning with min 2+ years of exp. Also, familiar with the state-of-the-art deep learning and natural language processing research.
• Experience in developing end-to-end NLP models using Python and NLP libraries like Spacy and HuggingFace.
• Proficient in writing high quality code and tests in Python.
• An excellent communicator with strong organizational, problem-solving, debugging and analytical skills
• Familiar with deep learning frameworks like PyTorch and TensorFlow
• Proficient in Java is not mandatory but a huge plus.
• Familiar with working with cloud computing (preferably AWS or GCP)