AI RESEARCH ENGINEER

The job overview for this role is that AlphaSense is seeking a passionate research engineer to join their AI Research team. The team is responsible for developing cutting-edge deep learning, NLP, search, and generative AI algorithms that power AlphaSense's Search and AI products. The successful candidate will work closely with a team of talented researchers and engineers to deliver scalable solutions for their world-class AI-powered search platform. The ideal candidate is an expert in machine learning and deep learning, with a focus on NLP, and possesses either an advanced degree in Computer Science or equivalent industry experience.

• Develop cutting-edge deep learning, NLP, search, and generative AI algorithms for AlphaSense Search and AI products
• Collaborate with a team of talented researchers and engineers to deliver scalable solutions for the AI-powered search platform
• Utilize expertise in machine learning and deep learning to contribute to the development of the AI Research team
• Stay updated with the latest advancements in deep learning and natural language processing research
• Proficiently develop end-to-end NLP models using Python

• Advanced degree in Computer Science, Computer Engineering, or relevant field with a focus on machine learning (equivalent industry experience may be considered)
• Expertise in machine learning and deep learning
• Familiarity with state-of-the-art deep learning and natural language processing research
• Proficiency in developing end-to-end NLP models using Python

• Total of $525M+ in VC funding – Series D funded in Jun’22 with a valuation of $1.7B
• Trusted by 4000+ enterprise customers, including a majority of the S&P 500
• 1000+ people across offices in the U.S., U.K., Finland, and India
• Opportunity to work with a talented team of researchers and engineers
• Development of cutting-edge deep learning, NLP, search, and generative AI algorithms
• Opportunity to work on a world-class AI-powered search platform
• Opportunity to perform cutting-edge research in deep learning, machine learning, and natural language processing
• Collaboration with cross-functional teams to translate product requirements into machine learning architectures
• Ownership of systems end-to-end, including design, code, training, testing, deployment, and iteration