Job Description:

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:

• 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/Master's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
• 5+ 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 candidate's compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.

Primary Location:
US - San Francisco, CA
Primary Location Base Pay Range:

$116,900.00 - $200,400.00 Annual
Additional Locations:
US - New York, NY
Additional Locations Pay Range:
116,900.00 - 200,400.00 USD Annual

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