Senior Research Scientist
Posted on 12/16/2022
New York, NY, USA
Experience Level
Desired Skills
Data Structures & Algorithms
Natural Language Processing (NLP)
  • Advanced degree in a quantitative discipline, e.g., computer science, mathematics, physics, statistics, applied mathematics, economics, informatics, cybernetics, bioinformatics or operations research
  • 5+ years of quantitative/research experience, track record of effective problem solving
  • Knowledge of Machine Learning concepts, algorithms and current state of the art (supervised and unsupervised approaches)
  • Autodidactic, self directed - you are able to dive into a new unfamiliar problem domain and learn quickly in the face of adversity - you are comfortable with uncertainty and project evolution
  • Highly developed communication skills (writing and figures)
  • Experience leading cross-functional agile work streams and scaling data-driven initiatives
  • Multi-tasking, project management, and leadership skills
  • Develop innovative solutions to challenging problems in natural language processing, information retrieval, knowledge graphs and machine learning
  • Effectively communicate quantitative results in a timely manner (you will be responsible for producing exceptional written and visual documentation, including publications)
  • Write high quality Python code (we use PyTorch and Transformers in many places)
  • Mentor junior team members, provide technical leadership and execution guidance
  • Exercise excellent technical judgment and prioritization around complexity, completeness, details and risks
  • Communicate research concepts and conclusions to a variety of audiences (product managers, software engineers, executives, sales partners)
Desired Qualifications
  • Track record of impactful publications
  • Experience in TensorFlow or PyTorch, and state-of-the-art transformer/NLP models and techniques (e.g. FastText, BERT, et al.)
  • NLP experience, especially with sentence embeddings
  • Very experienced in Snowflake and MySQL (or other databases)
  • Excellent ability to solve "glue" problems (e.g. shell scripting, python environment setup, efficient programming practices)
  • Experience with common quantitative analysis and ML packages (in Python or R) such as Pandas, Matplotlib, ggplot, scikit-learn and scipy
  • Experience with JVM languages (Java, Scala) a plus. GoLang or C++ also great!
  • Experience with AWS, Linux and Mac environments
  • Knowledge of statistics and good experimental practices (e.g. how to run a powerful A/B test and test for significance)
  • Deep Knowledge of techniques in both supervised ML, unsupervised ML, information retrieval and data mining (e.g. DBSCAN, k-Means, indexes). Deep knowledge of a specific subfield within one of these research areas

1,001-5,000 employees

AI search platform for companies
Company Overview
Yext's mission is to transform the enterprise with AI search. The company offers a modern, AI-powered Answers Platform that understands natural language so that when people ask questions about a business online they get direct answers – not links.
  • Comprehensive Benefits Program - One of our top priorities is to maintain the health and wellbeing of our employees and their families. We offer a robust and comprehensive benefits program, which includes top-quality health insurance (medical, dental, vision), paid parental leave, a 401(k) with match or retirement pension plan, equity, commuter benefits, and more.
  • Invested in Your Wellbeing - In addition to our top-tier benefits, we also have a holistic wellness program that includes physical and mental health services. A few employee-favorite perks are our company-wide subscription to the meditation, sleep, and relaxation app Calm, as well as our corporate ClassPass membership.
  • Stay Informed - Our leadership team is committed to company-wide transparency, ranging from email blasts, biannual goal-setting days, and a weekly all-hands video meeting called Manifesto. Manifesto is a time for leadership to share company updates, showcase new products, highlight new deals, and provide kudos to well-deserved employees.
  • Collaborative Workspaces - Yext has amazing workspaces in many of the greatest cities in the world — from our magnificent new HQ in New York City to those in Chicago, Greater Washington DC, London, Miami, Munich, Paris, Tokyo, San Francisco, and more. Most job families within Yext allow employees to work from any office so they can experience the face-to-face collaboration, spontaneous interaction, and mutual learning that have become such hallmarks of our culture across the globe.
  • Life-Work Balance - We work hard and play even harder, but we also recognize that our employees wear multiple hats as parents, mentors, caretakers, volunteers, and more. That’s why we offer flexible and generous vacation, paid company and bank holidays, and sick days for when you’re feeling under the weather — all in an effort to give our employees more time to do the things they love with the ones they love and support a better life-work balance.
  • Upward Mobility - One of the perks of being a relatively new publicly traded company is that there is no shortage of opportunity. This means our employees are presented with countless chances to move internally. Internal mobility is at the forefront of Yext’s hiring, as are learning and development, alongside our mentorship program and monthly lunch and learns sponsored by our ERGs.