Senior Research Scientist @ Yext

Senior Research Scientist

Posted on 12/16/2022

INACTIVE

Locations

New York, NY, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Agile

AWS

Data Structures & Algorithms

C/C++/C#

Java

Linux/Unix

MySQL

Pandas

Pytorch

Sales

Scala

Snowflake

Tensorflow

Natural Language Processing (NLP)

Python

Requirements

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

Responsibilities

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

Yext (NYSE: YEXT) helps organizations answer every question about their business. Yext’s Answers Platform collects and organizes content into a Knowledge Graph, then leverages a complementary set of products — including Listings, Pages, Reviews, and Search — to deliver relevant, actionable answers wherever customers, employees, and partners look for information. For over 15 years, thousands of companies worldwide have trusted Yext to create seamless content-driven experiences at scale across search engines, websites, mobile apps, and hundreds of other digital touchpoints. Learn more at yext.com.

Yext makes software and tools to improve everyone’s experience on the internet by providing perfect answers everywhere. Our clients trust us to use natural language processing (NLP) and machine learning (ML) to deliver correct information to end users everywhere.

As a Research Scientist you will solve challenging problems in natural language processing, machine learning, knowledge graphs, and information Retrieval. Your solutions will be essential to building new capabilities and features for Yext’s products. We manage large amounts of structured master data on behalf of some of the world’s largest companies and collect transactional data through end-user-facing applications we host directly for these clients.

Yext clients cover a tremendous breadth of industries. We are seeking scientists excited to discover opportunities in data across a wide variety of business domains. You will work collaboratively with cross-team partners in software engineering, product management, and strategy. This approach will allow you to participate fully in the product development lifecycle and make pragmatic decisions about the design, training, and deployment of machine learning models driving key product features.

What You’ll Do

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)

What You Have

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.

Bonus Points

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.

#LI-JB2

The base salary at the time of hire for this position is expected to be between $149,850 - $249,500. Pay ranges at Yext are established based on an analysis of salaries for positions with a similar level of accountability and impact in the relevant labor market. Salary levels are expected to change to reflect an employee’s job performance (results and impact) over time. Salaries at the time of hire are typically offered in the lower to middle of the above-referenced range in order to provide the opportunity to reflect performance-based increases over time. In addition to base salaries, employees at Yext are typically eligible for a comprehensive package of benefits, and successful candidates may also be eligible for equity (stock) based compensation and/or variable pay programs based on performance relative to goals and targets.

Yext is committed to building an inclusive and diverse culture where every person is seen, heard and valued. We believe in equal employment opportunity and welcome employees and applicants of all races, colors, ethnicities, religions, creeds, national origins, ancestries, genetics, sexes, pregnancy or childbirth, sexual orientations, genders (including gender identity or nonbinary or nonconformity and/or status as a trans individual), ages, physical or mental disabilities, citizenships, marital, parental and/or familial status, past, current or prospective service in the uniformed services, or any characteristic protected under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Yext’s policy to provide reasonable accommodations to people with disabilities as required by law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form.

1,001-5,000 employees

Website

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.

Benefits

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.