Staff Machine Learning Engineer

Integral Ad Science (IAS) is a global technology and data company that builds verification,

optimization, and analytics solutions for the advertising industry and we’re looking for a Staff

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. We’re passionate about maintaining an open and

collaborative environment, where team members bring their own unique style of thinking and

tools to the table.

What you’ll get to do :

• Experience building large-scale deep learning infrastructure or platforms for distributed

 model training

• Experience with large-scale AI training infra components, such as accelerators, network

 fabrics, CUDA, NCCL, RDMA

• Strong programming skills in Python or Go
• Understanding of data structures, software design principles, and algorithms
• Experience building large-scale distributed systems with tools such as Kubernetes,

 Kafka, Prometheus, etc.

• Experience with deep learning frameworks, such as PyTorch, or JAX
• Drive system design for our AI/ML-based services.
• Design, develop and support our CI/CD pipeline for AI/ML-based services.

You should apply if you have most of this experience:

• PhD/Master’s degree in technical field such as computer science, mathematics, statistics

or equivalent years of experience

• 7+ 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
  
  

About Integral Ad Science

Integral Ad Science (IAS) is a global leader in digital media quality. IAS makes every impression

count, ensuring that ads are viewable by real people, in safe and suitable environments,

activating contextual targeting, and driving supply path optimization.

Our mission is to be the global benchmark for trust and transparency in digital media quality for

the world’s leading brands, publishers, and platforms. We do this through data-driven

technologies with actionable real-time signals and insight. Founded in 2009 and headquartered

in New York, IAS works with thousands of top advertisers and premium publishers worldwide.

For more information, visit integralads.com .