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. IAS is looking for a Senior Machine Learning Engineer on the Data Sciences Team. In this role you will oversee 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 a Machine Learning Engineer at IAS you will be part of a team that is at the center of innovation for the company, a major contributor to our core products, and will manage a group of data scientists. You will push the boundaries of applications of machine learning (ML) and deliver best‑in‑class solutions for our clients. What you’ll 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. Qualifications Ph.D. or Master’s degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience. 5+ years of 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. Ability 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. Pay Transparency Annualized base salary ranges for the primary location and any additional locations are listed below. Compensation is based on work location, experience, skills, job duties and business need. Primary Location: US – San Francisco, CA Base Pay Range: $116,900.00 – $200,400.00 Additional Locations: US – New York, NY Pay Range: $116,900.00 – $200,400.00 IAS offers a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision), PPO, HSA and FSA options, and a 401(k) with employer matching contributions. All full‑time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Company Overview 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. 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 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 View email address on click.appcast.io. Recruitment Notice IAS does not accept unsolicited resumes or candidate profiles. If you are a recruiting partner, please send an email to View email address on click.appcast.io. #J-18808-Ljbffr Integral Ad Science