As a Research Scientist at IAS, you will be part of a team that is a center of innovation for the company and a major contributor to the AI community through ground breaking research work. The Research Scientist will work on problems that help IAS and the AI community how reasoning capabilities could be strengthened for transformers which are the backbone of the next generation of AI applications.

The ideal candidate has a track record of delivering deep learning-based models at scale, enjoys working with cross-functional team members delivering solutions within a timeline, and brings innovative solutions to complex problems with a desire to publish articles at renowned AI conferences and journals. Additionally, this Research Scientist should inculcate the core culture of IAS to be One Team.

What you’ll get to do:

• Conduct research that extends the formal reasoning capabilities of foundational AI models applicable across all modalities
• Extensive experience working with Transformers and Attention
• Prove new research hypotheses by conducting tests on open source benchmark datasets and make it publication ready
• Apply these novel approaches to enhance products at IAS
• Effectively communicate results from ML/DL models and statistical learnings to a variety of stakeholders within R&D, product, and commercial teams

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.
• Experience with complete ML model research lifecycle: feature extraction/dataset preparation, training, fine-tuning, results preparation.
• Experience with at least one scripting language such as Python and with deep learning frameworks (tensorflow, pytorch, caffe, etc)
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

What puts you over the top:

• Practical experience with generative AI (LLM, CoT…), image/video classification, object detection, multimodal learning, and similar problems. 
• Publication record in deep learning / neural networks or adjacent fields.

New York Applicants: The salary range for this position is $88,900 - $152,400. Actual pay may vary based on experience or geographic location.

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 [email protected].

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 [email protected]. We will get back to you if there’s interest in a partnership.

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