- Location
- Palo Alto, CA, US
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Education
- PhD
- Source
- JobScore
Description
About Us
At Diffbot, we believe that access to structured information will be the critical resource for the coming wave of intelligent applications—for everything from new app experiences, to search assistants, to enterprise business intelligence.
That’s why our team of world-class AI engineers is building a machine that can autonomously synthesize the world’s largest database of structured information and looking for those that want to join us on this mission.
Machine Learning Engineer
Machine Learning Engineers in our applied division design and build massively scaled systems that power the core of Diffbot’s autonomous knowledge extraction system--the Diffbot Knowledge Graph. You’ll work with some of the world’s most premier researchers in their field, both at Diffbot and in academic AI labs, to implement state-of-the-art models in our production datacenter.
Application tip: To help your application stand out, include a note in the cover letter box! All notes will be read by an engineer on our team and this is your chance to tell us exactly how you would improve the Knowledge Graph if hired as a fellow engineer. You can access the Knowledge Graph for free at https://app.diffbot.com/get-started
Responsibilities
- Improve accuracy of our production machine learning systems by applying the latest published research, feature engineering, and tuning of model hyperparameters
- Own end-to-end accuracy and performance for our 60+ machine learning problems
- Be up to date on the latest research publications, and rapidly assess the latest results for production and scalability potential
- Work closely with product leadership and customers on training datasets and error analysis
Requirements
- Masters in Computer Science or equivalent work experience
- Industry experience designing and developing software
- Experience implementing the latest machine learning algorithms
- Experience in designing performant production systems
- Production/deployment engineering in java
Preferred Skills
- Java, C++, C#
- Published research in CV/NLP topics
- PhD in Computer Science
