Integral Ad Science (IAS) is looking for a Staff Machine Learning Engineer to oversee 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. The role involves pushing the boundaries of machine learning applications and delivering best-in-class solutions for clients, while also managing and cultivating innovation within a team of data scientists.
Requirements
- Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
- Experience building large-scale deep learning infrastructure or platforms for distributed model training
- Experience with large-scale AI training infra components, such as accelerators, network fabrics, CUDA, NCCL, RDMA
- Strong programming skills in Python or Go; understanding of data structures, software design principles, and algorithms
- Experience working with machine learning, ranking infrastructures, and system design
- Strong understanding of machine learning approaches and algorithms
Responsibilities
- Build large-scale deep learning infrastructure or platforms for distributed model training
- Build large-scale distributed systems with tools such as Kubernetes, Kafka, Prometheus, etc.
- Develop deep learning frameworks
- Drive system design for our AI/ML-based services.
- Design, develop and support our CI/CD pipeline for AI/ML-based services.
Other
- 7-10+ 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
