Senior Machine Learning Engineer

Join a Product ML team to design, build, and operate the ML/AI stack powering customer-facing products. You will design and scale ML infrastructure for both batch and real-time inference, lead zero-to-one ML initiatives from concept to production, and bridge the gap between ML scientists and engineering teams. You will drive ML operations, improve inference performance and scalability, and collaborate with cross-functional partners while embodying a customer-focused, long-term, growth-oriented culture. Requirements include 5+ years of ML engineering or applied scientist experience, a degree in CS or a quantitative field, proficiency in Python, Java, C++, or Golang, deep knowledge of PyTorch, TensorFlow, and Spark, and demonstrated end-to-end ML application development. Ideal candidates have prior leadership of small cross-functional teams and experience delivering zero-to-one ML solutions.