About HyperGlue

Hyperglue is building the future of analytics, empowering our customers to generate business critical intelligence on unstructured text. Together, we’re building products and services that augment and automate how we seek insights over large, diverse data sources, so companies can make the best decisions, faster.

We’re backed by the best, including YCombinator (S21), Upfront Ventures, Lightspeed Venture Partners, Softbank and Amplify Partners.

Hyperglue is headquartered in San Mateo, CA, with an office in Denver, CO.

About the role

Skills:Torch/PyTorch, Kubernetes, Python, SQL, TensorFlow, Elasticsearch, Machine Learning, Natural Language Processing, Data Modeling, Data Analytics

About the company

Hyperglue is building the future of analytics, empowering our customers to generate business critical intelligence on unstructured text. Together, we’re building products and services that augment and automate how we seek insights over large, diverse data sources, so companies can make the best decisions, faster.

We’re backed by the best, including YCombinator (S21), Upfront Ventures, Lightspeed Venture Partners, Softbank and Amplify Partners.

Hyperglue is headquartered in Redwood City, California, with offices in San Mateo, CA and Denver, CO.

About the role

Hyperglue exists to generate insights from unstructured data, powering the dashboards our customers use to make business critical decisions daily.

As a Sr. Data Scientist at Hyperglue, you’ll work directly with the founding team to ship new data driven product features, leveraging bleeding edge algorithms, and a good intuition about data. We’re looking for engineers willing to push the boundaries of what’s possible, and help build products that feel like magic to our customers.

On any given day you’ll be

Combine knowledge of several research domains to help power decisions at Hyperglue
Designing new machine learning systems to power the analytics efforts at Hyperglue
Improving the statistical methodology backing our experimentation platform
Building statistical models to predict user behavior and risks to the business
Adapting machine learning algorithms to solve problems across several teams, such as product, operations, customer support, compliance, and security

About you:

Degree in a quantitative field such as mathematics, statistics, engineering or natural sciences (or equivalent research experience)
Solid understanding of unsupervised learning, statistical analysis and machine learning algorithms
Excellent programming skills, including expert level familiarity with the Python programming language
At least 4 years of work experience, either in a research/ academic or commercial/ industry setting

Bonus Points:

Experience in applied natural language processing
Passion for working and learning in a fast-growing company
Strong customer empathy

Feeling ready to give 100% to building the future of analytics? We’d love to have you apply, even if you feel unsure about whether you meet every single requirement in this posting. At Hyperglue, we’re looking for people invigorated by our mission, not just those who simply check off all the boxes.

Technology

Front End - React/Typescript
Platform - Golang, Python

HyperGlue remote jobs

Sr. Front-end Developer

Sr. Data Scientist

Staff Backend Engineer