Senior Machine Learning Engineer

Integral Ad Science • San Francisco, CA

15d

About The Position

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 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. 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.

Requirements

• PhD/Master’s 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

Responsibilities

• 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

Benefits

• paid time off
• health insurance (medical, dental, vision) as well as PPO, HSA and FSA options
• 401k with employer matching contributions
• annual bonus and/or other incentive plans

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees