Integral Ad Science is looking to solve the problem of handling hundreds of thousands of transactions per second and evaluating thousands of data points in real-time to deliver best-in-class solutions for their clients.
Requirements
- 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
- Experience working with data pipelines and CI/CD pipelines
- Experience with testing and monitoring tools for ML models
- Experience with experimenting tools for ML scientists
- Experience with code reviews and ensuring exceptional code quality
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
Other
- 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
- 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
