Staff 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 Staff Machine Learning Engineer on the Data Science 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 Staff 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 oversee a sophisticated suite of data science systems making large-scale business predictions across the open web social networks video and mobile apps. At the Staff level you are expected to be a technical pillar for the organization. You will take ownership of open highly ambiguous business problems and translate them into scalable ML architectures. You will define technical roadmaps set the standard for ML engineering practices and push the boundaries of applied machine learning to deliver best-in-class solutions for our clients. Innovation is at the heart of our competitive advantage and you will cultivate it by mentoring talent and raising the technical bar across multiple types of challenges we solve have attracted people from industry and academia with diverse backgrounds. 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:

• Technical Leadership & Vision: Drive the architectural vision and system design for our core AI/ML-based services.
• Act as the technical lead for complex multi-quarter initiatives from inception to global deployment.
• Architect at Scale: Design and build large-scale deep learning infrastructure and platforms for distributed model training ensuring low-latency and high-availability at enterprise scale.
• Cross-Functional Influence: Partner with Product Management Core Engineering and executive stakeholders to align ML capabilities with business strategy.
• Translate abstract product requirements into concrete technical designs.
• Act as a Multiplier: Mentor and guide senior and mid-level data scientists and engineers.
• Establish standard methodologies define code quality expectations and lead architecture design reviews.
• Infrastructure Mastery: Work with large-scale AI training infra components (accelerators network fabrics CUDA NCCL RDMA) and big data ecosystems (Databricks Spark Kubernetes Kafka Prometheus).
• End-to-End Ownership: Design develop and support robust CI/CD pipelines for AI/ML services ensuring models transition smoothly from research into reliable production endpoints.

You should apply if you have most of this experience:

• PhD/Masters degree in a technical field such as computer science mathematics statistics or equivalent years of experience.
• 7 years of machine learning experience in industry with a proven track record of operating at a Lead Principal or Staff level.
• System Design & Architecture: Deep expertise in designing complex machine learning systems ranking infrastructures and data pipelines that handle massive throughput.
• ML Frameworks: Extensive production-hardened experience working with frameworks such as PyT orch JAX or T ensorFlow.
• Production Coding: Strong production-grade programming skills in Python Go Java or C along with a deep understanding of software design principles and algorithms.
• Ambiguity & Execution: Proven ability to thrive in ambiguity take large unstructured problems and independently drive them to successful technical resolutions.
• Mentorship: A strong history of collaborating with elevating and mentoring engineering talent

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:

Additional Locations:

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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.