Senior Machine Learning Engineer

🕒 January 22

🏢🏡 San Francisco – Hybrid

💵 $116.9k - $200.4k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Integral Ad Science

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

📱 Media

Advertising • Media • Technology

Integral Ad Science is a global leader in media measurement and optimization, specializing in improving the quality and effectiveness of digital advertising. The company provides solutions for ad fraud prevention, brand safety, contextual targeting, and viewability across multiple channels such as CTV, social platforms, and mobile. With a focus on delivering actionable insights, IAS helps publishers, brands, and agencies optimize their digital media presence to drive superior campaign results. Additionally, IAS engages in co-innovation with partners to develop ad tech solutions that enhance digital media quality and transparency.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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