Senior Machine Learning Engineer

Job Description:

Integral Ad Science (IAS) is a global technology and data company that builds verification optimization and analytics solutions for the advertising industry and were looking for a Senior Machine Learning Engineer on the Data Sciences Team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time all while responding in just a few milliseconds then IAS is the place for you!

As a Machine Learning Engineer at IAS you will be part of a team that is at the center of innovation for the company and a major contributor to our core products. You will be responsible for overseeing a sophisticated suite of data science systems making large scale business predictions in advertising inventory across open web social networks video/CTV and mobile apps. As part of the data science group at IAS you will push the boundaries of applications of machine learning (ML) and deliver best-in-class solutions for our clients. Innovation is at the heart of our competitive advantage and innovation starts with people and culture. You will manage a group of data scientists and cultivate innovation in their work developing high performing talent ultimately producing a lasting impact on the IAS business.

The types of challenges we solve have attracted people from industry and academia with diverse backgrounds ranging from ML mathematics physics biology neuroscience and computer science to finance 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.

What youll get to do:

• Contribute to the system design for our AI/ML-based services.

• Design and develop testing and monitoring tools for ML models.

• Design and build data pipelines (from storage to monitoring/telemetry).

• Design develop and support our CI/CD pipeline for AI/ML-based services.

• Provide and maintain experimenting tools for our ML scientists

• Evaluate the technical tradeoffs of every decision

• Perform code reviews and ensure exceptional code quality

• Build robust lasting and scalable products Iterate quickly without compromising quality

You should apply if you have most of this experience:

• PhD/Masters degree in technical field such as computer science mathematics statistics or equivalent years of experience

• 3 years machine learning experience in industry

• Experience working with machine learning frameworks such as TensorFlow Caffe2 PyTorch Spark ML scikit-learn or related frameworks

• Experience working with machine learning ranking infrastructures and system design

• Strong understanding of machine learning approaches and algorithms

• Able to prioritize duties and work well on your own

• Ability to work with both internal and external partners

• Skilled at solving open ambiguous problems

• Strong collaboration and mentorship skills

IAS Pay Transparency:

The annualized base salary ranges for the primary location and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package we offer a comprehensive benefits package that includes paid time off health insurance (medical dental vision) as well as PPO HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidates compensation package is based on multiple factors but not limited to geography experience skills job duties and business need.

Primary Location:

Primary Location Base Pay Range:

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.