Location: New York, NY

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.

Reporting to Peng Wang - Director of AI Research:

Peng leads the AI research team to develop and deploy intelligent solutions that are core to AlphaSense's mission: to organize the world’s business information and leverage technology to enable companies to make smarter, faster and more confident decisions. Previously, he worked as an engineer and tech lead at Google, designing large scale machine learning and NLP algorithms for various businesses. When he is away from books or computer screens, Peng likes to play badmintons and explore trails in NJ and PA.

About the Role: 

You will join our AI Research team developing the cutting edge deep learning, NLP and ranking systems that power AlphaSense Search and Recommendations. You have a deep understanding of the latest neural network architectures and information retrieval strategies, you follow the latest AI research, and are driven to apply what you know to real-world applications. You’ll work closely with a world-class search engineering team to integrate algorithms and measure their impact.

Who You Are:

• Ideally, you have an advanced degree in Computer Science, Computer Engineering or relevant field with a focus on machine learning, but equivalent industry experience may be considered
• Familiar with the state-of-the-art deep learning and natural language processing research
• Proficient with deep learning frameworks like PyTorch and TensorFlow, and libraries such as HuggingFace
• Possess basic understanding of search engine architecture, components and algorithms in particular query processing and learning to rank
• A strong engineer who can write well-designed high quality code and tests
• An excellent communicator with strong organizational, problem-solving, debugging and analytical skills
• If you have experience in applying machine learning to search and/or recommendations -- that’s a huge plus and we’d love to hear from you!

What You’ll Do:

• Develop highly scalable machine learning based document ranking models and take them all the way to production
• Perform cutting edge research in deep learning, machine learning, natural language processing and ranking algorithms to improve search quality
• Work closely with Product Management to translate product requirements into machine learning architectures
• Own all the stages of search quality from design, code, train, test, deployment and iteration

AlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.