Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at IAS, you will be part of a team at the center of the company’s innovation strategy and a major contributor to the company's core products. You will work on challenging technical problems, using machine learning applied to multimodal content classification.

Requirements

• Advanced degree (MSc, PhD or equivalent industrial experience) in a relevant technical field (machine learning, computer science, computer vision, etc)
• 5+ years of industry experience delivering machine learning systems from ideation to production.
• Strong programming skills in Python and experience with deep learning frameworks (e.g., Pytorch, Tensorflow)
• Good experience developing deep neural networks (CNN, transformers), preferably applied to NLP, computer vision, or audio processing.
• Experience with source control workflows and deploying ML models in production (experience with inference frameworks such as Tensorrt, Onnx, or Triton is a plus)
• Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• A continuous learner with a strong interest translating theory into practical solutions.
• Experience distilling product requirements into problem definitions, dealing with ambiguity and competing objectives
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Practical experience with image/video classification, object detection, speech recognition, machine translation, and similar problems.
• Publication record in deep learning / neural networks or adjacent fields
• Experience working with distributed computing tools applied to machine learning (Ray, horovod), or to data processing and cloud platforms (AWS, GCP)