Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. Tripadvisor, the world's largest travel site, inspires and empowers people to explore the world with confidence and share their trip experiences with others. The Data team, which includes Analytics, Machine Learning, Data Infrastructure, Data Platform, and Paid Marketing, creates the data ecosystem that allows the company to measure and evaluate overall business performance, apply machine learning models, and run and monitor paid marketing campaigns.

At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world's largest networks that powers trillions of requests per month. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare have all web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

MOUNTAIN VIEW, Calif., June 4, 2020 – H2O.ai announced the availability of H2O Driverless AI integration, a leading automatic machine learning (AutoML) platform, with Snowflake, the Cloud Data Platform. This new integration enables Snowflake users to easily build and deploy ML models. Driverless AI automates the time consuming and demanding data science and machine learning workflows such as feature engineering, model tuning and model selection to achieve the highest predictive accuracy within the shortest time. The seamless integration of H2O Driverless AI with the Snowflake Cloud Data Platform is another step towards democratizing AI for all and empowering every company to be an AI company. "H2O.ai and Snowflake are in a unique position to help our customers adapt in the rapidly emergent business landscape and win with artificial intelligence on the cloud," said Sri Ambati, CEO and Founder of H2O.ai.

H2O.ai, the open source leader in artificial intelligence (AI) and machine learning (ML), today announced the availability of H2O Driverless AI integration, a leading automatic machine learning (AutoML) platform, with Snowflake, the Cloud Data Platform. This new integration enables Snowflake users to easily build and deploy ML models. Driverless AI automates the time consuming and demanding data science and machine learning workflows such as feature engineering, model tuning and model selection to achieve the highest predictive accuracy within the shortest time. The seamless integration of H2O Driverless AI with the Snowflake Cloud Data Platform is another step towards democratizing AI for all and empowering every company to be an AI company. "H2O.ai and Snowflake are in a unique position to help our customers adapt in the rapidly emergent business landscape and win with artificial intelligence on the cloud," said Sri Ambati, CEO and Founder of H2O.ai.

As the digital revolution transforms the fields of healthcare and life sciences, organizations and individuals stand to gain from new trends that use data in innovative ways to provide better patient outcomes. To leverage these developments, organizations need to embrace a cloud data platform as part of their digital transformation. All four of the following trends require the flexibility, security, and accessibility of the cloud to achieve their full potential. The advent of mobile health data applications, or mHealth, has given patients on-demand access to their health information. Through these apps, patients can view their medical records, communicate with their care team, and manage appointments and billing 24 hours a day, seven days a week. Centralized electronic health record (EHR) systems have enabled self-service patient data management, empowering individuals to better track information about their health.

Snowflake, a cloud data platform, is deepening its relationship with AWS to provide a seamless customer experience. The company recently achieved the Amazon Web Services (AWS) Machine Learning (ML) and Artificial Intelligence (AI) Competency status. The AWS Competency Program highlights AWS Partner Network (APN) members that have passed a rigorous audit of their security, architecture and customer adoption, and have exhibited proven success supporting customers in specialised solution areas. Achieving AWS Competency status in these categories differentiates Snowflake as an APN member that delivers highly specialised technical proficiency. This announcement is the latest example of Snowflake's relationship with AWS, which has yielded many important milestones for customers.

As a testament to this, Snowflake recently achieved the Amazon Web Services (AWS) Machine Learning (ML) and Artificial Intelligence (AI) Competency status. The AWS Competency Program highlights AWS Partner Network (APN) members that have passed a rigorous audit of their security, architecture and customer adoption, and have exhibited proven success supporting customers in specialized solution areas. Achieving AWS Competency status in these categories differentiates Snowflake as an APN member that delivers highly specialized technical proficiency. This announcement is the latest example of Snowflake's relationship with AWS, which has yielded many important milestones for customers. Customers like Yamaha Corporation, the Japanese multinational enterprise with a wide range of products focused on sound and music, benefit from Snowflake's relationship with AWS.