Principal ML Engineer

Key Skills

Analytical Techniques, Caffe, Cloud computing, CNNs, Data Analysis, Data Classification, Data extraction, Deep Learning, Docker, English Proficiency, Framework, Google Cloud Platform (GCP), Keras software library, Kubernetes-K8s, Large scale deployment, Linear regression, Logistic Regression, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, Public speaking skills, PyTorch, Regression Analysis, Regular expression - RegEx, RNNs, Single sign-on (SSO), spaCy, SQL, TensorFlow, Theano, Transfer Learning, Transformer

Job Description

Ready to be a Cooper too? This might just be right up your alley!

We’re here to keep the dream of home ownership alive. Oh, and while we’re at it, we’re determined to change the lending industry itself. It’s simple, but it won’t be easy. And we’ll need a great team behind us. (That’s where you come in.) We want to show the world that transparency, candor and collaboration aren’t just good values. They’re good business. Working here isn’t for people who want to punch a clock. It’s for people who want to punch a hole in the status quo. Come join us. And make a difference instead of just a living.

• 5+ years of Hands-on experience in data classification – binomial, single and multiclass, regression – Linear, Logistic, Polynomial, Lasso; data sentiment analysis and data extraction using regex and fuzzy logic
• 2+ years of Hands-on experience with Google cloud platform technologies: Cloud Machine Learning, Vertex AI, Big Query, Auto ML, App Engine, Pub/Sub (Streaming), Cloud Functions, Cloud Data Store and SQL
• Expertise in a variety of Deep Learning architectures including Residual Networks, RNN/CNN, Transformer, and Transfer Learning
• Very fluent in ML packages and frameworks like sklearn, spacy, nltk Tensorflow, Keras, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these
• Proficiency and experience in NLP
• Hands-on experience with platforms such as Docker, Kubernetes and deployment on Google Platform
• Hands-on experience in building end to end products using GKE and Serverless Architectures (preferably GCP Cloud Functions, GCP App Engine)

Mr. Cooper is committed to nurturing a diverse and inclusive environment where every employee is empowered to be their authentic self. We know that a large part of our success as a business is directly tied to our ongoing efforts to attract and retain diverse talent and maintain an inclusive environment where each employee can thrive. Embracing and leveraging diversity through an inclusive work environment fosters new ideas, new insights, and constant innovation. We strive to weave the principles of diversity and inclusion throughout the fabric of how we work, how we interact, and how we engage with our customers and the community.