Senior Machine Learning Engineer

Job Description:

As a Senior Machine Learning Engineer at IAS you will be part of a team at the center of the companys innovation strategy and a major contributor to the companys core products. You will work on challenging technical problems using machine learning applied to multimodal content classification.

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. Were 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.

What youll 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 youll need:

• Advanced degree (MSc PhD or equivalent industrial experience) in a relevant technical field (machine learning computer science computer vision etc)
• 5 years of industry experience delivering machine learning systems from ideation to production.
• Strong programming skills in Python and experience with deep learning frameworks (e.g. Pytorch Tensorflow)
• Good experience developing deep neural networks (CNN transformers) preferably applied to NLP computer vision or audio processing.
• Experience with source control workflows and deploying ML models in production (experience with inference frameworks such as Tensorrt Onnx or Triton is a plus)
• Comfortable manipulating and analyzing complex high-volume high-dimensionality data from varying sources
• A continuous learner with a strong interest translating theory into practical solutions.
• 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 applied to machine learning (Ray horovod) or to data processing 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 industrys most actionable data to drive superior results for the worlds largest advertisers publishers and media platforms. IASs 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 .

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 .

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 . We will get back to you if theres interest in a partnership.