Senior Machine Learning Engineer
Core
Develop and deploy Computer Vision and Machine Learning solutions to determine item attributes and verify merchandise authenticity for the Inbound team.
Role type
Senior Applied Scientist (Computer Vision & ML)
Builds
Scalable ML solutions for item attribute determination and authenticity verification
Domain
Retail / Computer Vision
Deliverable
production ML models
Required skills
Computer Vision algorithms (CNNs, transformers, GANs), Deep Learning, Python, PyTorch, TensorFlow, Keras, Scikit-Learn, Data Engineering, Experiment Design (A/B testing), MLOps (Ray Tune, W&B, Kubeflow), Cloud platforms (AWS, GCP, Azure)
Preferred skills
PhD in CS/ML/AI/Stats/OR, Retail sector ML experience, MLOps pipelines expertise
Technologies
PyTorch, TensorFlow, Keras, Scikit-Learn, Ray Tune, W&B, Kubeflow, AWS, GCP, Azure, Python
Responsibilities
Develop and deploy Computer Vision and Machine Learning solutions, Maintain clean and scalable code, Analyze large datasets for insights, Influence technical direction, Mentor team members, Contribute to IP via patents and publications
Seniority
Senior, hands-on IC with mentorship responsibilities
