Integral Ad Science
Senior Machine Learning Operations Engineer
Integral Ad Science, New York, New York, us, 10261
Senior Machine Learning Operations Engineer
New York, NY Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry. We are seeking a Senior Machine Learning Engineer for our Data Sciences Team. If you are excited by technology capable of handling hundreds of thousands of transactions per second, collecting tens of billions of events daily, and evaluating thousands of data points in real-time with millisecond response times, IAS is the place for you! As a Machine Learning Engineer at IAS, you will be part of a team at the forefront of innovation, contributing significantly to our core products. Your responsibilities will include overseeing sophisticated data science systems that make large-scale business predictions across various advertising platforms. You will drive the application of machine learning (ML), deliver top-tier solutions, and foster innovation within the team by managing data scientists and cultivating talent. The challenges we tackle attract professionals from diverse backgrounds such as ML, mathematics, physics, biology, neuroscience, computer science, finance, and economics. We promote an open, collaborative environment where diverse thinking and tools are valued. What youll do: Design system architecture for AI/ML services. Create testing and monitoring tools for ML models. Build data pipelines from storage to monitoring/telemetry. Develop and support CI/CD pipelines for ML services. Provide experimentation tools for ML scientists. Assess technical tradeoffs for decisions. Conduct code reviews to ensure high-quality code. Build scalable, robust products and iterate quickly without compromising quality. Qualifications: PhD or Masters in computer science, mathematics, statistics, or equivalent experience. 3+ years of industry experience in machine learning. Experience with frameworks like TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn. Knowledge of ML infrastructure and system design. Strong understanding of ML algorithms and approaches. Ability to prioritize tasks and work independently. Effective collaboration with internal and external partners. Proficiency in solving open-ended, ambiguous problems. Strong mentorship and collaboration skills. Salary range for New York applicants: $116,900 - $200,400, depending on experience and location. #J-18808-Ljbffr
New York, NY Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry. We are seeking a Senior Machine Learning Engineer for our Data Sciences Team. If you are excited by technology capable of handling hundreds of thousands of transactions per second, collecting tens of billions of events daily, and evaluating thousands of data points in real-time with millisecond response times, IAS is the place for you! As a Machine Learning Engineer at IAS, you will be part of a team at the forefront of innovation, contributing significantly to our core products. Your responsibilities will include overseeing sophisticated data science systems that make large-scale business predictions across various advertising platforms. You will drive the application of machine learning (ML), deliver top-tier solutions, and foster innovation within the team by managing data scientists and cultivating talent. The challenges we tackle attract professionals from diverse backgrounds such as ML, mathematics, physics, biology, neuroscience, computer science, finance, and economics. We promote an open, collaborative environment where diverse thinking and tools are valued. What youll do: Design system architecture for AI/ML services. Create testing and monitoring tools for ML models. Build data pipelines from storage to monitoring/telemetry. Develop and support CI/CD pipelines for ML services. Provide experimentation tools for ML scientists. Assess technical tradeoffs for decisions. Conduct code reviews to ensure high-quality code. Build scalable, robust products and iterate quickly without compromising quality. Qualifications: PhD or Masters in computer science, mathematics, statistics, or equivalent experience. 3+ years of industry experience in machine learning. Experience with frameworks like TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn. Knowledge of ML infrastructure and system design. Strong understanding of ML algorithms and approaches. Ability to prioritize tasks and work independently. Effective collaboration with internal and external partners. Proficiency in solving open-ended, ambiguous problems. Strong mentorship and collaboration skills. Salary range for New York applicants: $116,900 - $200,400, depending on experience and location. #J-18808-Ljbffr