Machine Learning jobs in United States

Company Introduction

PatSnap is a SaaS-based tech innovation intelligence service provider. PatSnap helps R&D leaders to maximize the value of innovation intelligence within their R&D workflow and strategic planning. As the global leaders in connected innovation intelligence, PatSnap uses AI-powered and machine learning technology to comb through billions of datasets, helping innovators connect the dots. PatSnap recently completed a Series E funding round of $300 million, led by Tencent and the SoftBank Vision Fund II. This represents the largest round of funding in the SaaS sector since 2020, making PatSnap a unicorn in the SaaS track.

Department Introduction

The R&D SG Department is dedicated to building leading capabilities in natural language processing technology and services. This is achieved by leveraging technologies such as Deep Learning, NLP, CV, and Knowledge Graph to create top-tier products.

Job Description

We are looking for an experienced Materials Science Content Analyst to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our product development. This is an excellent opportunity to take advantage of emerging trends and technologies to make a real-world difference.

Responsibilities

1. Understand Materials Science products and features and communicate effectively to various stakeholders.
2. Materials Science Data Curation for AI/ML tasks.
3. Guide Data Scientists.
4. Evaluate existing Materials Science data.
5. Explore and investigate new data sources for Materials Science products.

Requirements

1. Domain knowledge of Materials Science or related fields.
2. Fluency in English and Mandarin.
3. Degree in Material Science, Physics, Chemistry, or a related field.