Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
As a Data Scientist/MLE at IAS, you will be part of a team that is a center of innovation for the company and a major contributor to the company's core products. The Lead Data Scientist will work on challenging technical problems in brand safety, developing and pushing out ML/DL models at scale that classify brand unsafe material for multiple modalities across the digital ecosystem. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, including machine learning, computer science, finance, physics, biology, neuroscience, and economics. We're passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.
The ideal candidate has a track record of delivering deep learning based models at scale, enjoys working with cross functional partners from Product and Engineering delivering solutions within strict timelines, and brings innovative solutions to complex problems with a desire to improve the status quo. Additionally, as an early member of our Dublin location, you will also have the opportunity to help build the team from the ground up and shape the office culture.
What you’ll get to do:
- Scope work and projects in the realm of machine learning, focusing on deep learning applications in image/video classification.
- Work with a variety of data sources to build production-ready ML models
- Apply machine learning to novel problems in online advertising
- Collaborate with engineers to integrate solutions within larger engineering workflows
- Effectively communicate results from ML/DL models and statistical learnings to a variety of stakeholders within R&D and product organizations
What you’ll need:
- Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, computer vision, etc)
- Solid research background and experience in computer vision, machine learning, and image/video analysis algorithms.
- 7+ years industry experience, with technical leadership, and experience guiding ML projects from start to finish
- Experience with at least one scripting language such as Python and with deep learning frameworks (tensorflow, pytorch, caffe, etc)
- Familiarity with relational databases and SQL
- Experience with source control workflows and deploying ML models in production
- Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- Experience distilling product requirements into problem definitions, dealing with ambiguity and competing objectives
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
What puts you over the top:
- Practical experience with image/video classification, object detection, speech recognition, machine translation, and similar problems.
- Publication record in deep learning / neural networks or adjacent fields
- Experience working with distributed computing tools (Hadoop, Spark, Hive, etc.) and cloud platforms (AWS, GCP)
About Integral Ad Science
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
Equal Opportunity Employer:
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.
California Applicant Pre-Collection Notice:
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.
To learn more about us, please visit http://integralads.com/
Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.
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