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Machine Learning Engineer

2 months ago

Mountain View, California, United States IBM Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at IBM, working on a world-class conversational AI system. As an ML Engineer, you will play a key role in designing, coding, and implementing machine learning solutions to intent and understanding problems, as well as evaluating model performance in production use cases.

Key Responsibilities
  • Investigate and experiment with new model architectures to improve existing ML models, training pipelines, and run-time inference performance
  • Expand the scope and capabilities of our models to enable multilingual use cases
  • Creatively balance the demands of production-level software engineering with exploratory research and development
  • Work with teams to develop and improve ML pipelines that go all the way from R&D to at-scale deployment
Requirements
  • Experience working with large production codebases in any language
  • Experience using one or more ML libraries such as PyTorch, MxNet, TensorFlow, or similar tools
  • Hands-on experience with ML model deployment and inference in a production environment
  • Experience building sequence-to-sequence neural networks (e.g. LSTMs, GRUs, Transformers, etc) in any domain
  • Demonstrated success working in large distributed teams to solve novel technical challenges
Preferred Qualifications
  • Experience developing production-level Python
  • Experience building and deploying bilingual or multilingual applications using ML
  • Ability to build NLP data pipelines and perform data transformations to fit deep learning models for language learning or understanding
  • Experience with MLOps and/or ML at scale
  • Working proficiency or fluency in Spanish
About IBM

IBM's Cloud and Cognitive software business is committed to bringing the power of IBM's Cloud and Watson/AI technologies to life for our clients and ecosystem partners around the world. We provide a comprehensive and consistent approach to development, security, and operations across hybrid environments, with complete software solutions for business and IT operations, development, data science, security, and management.

Our experts and software capabilities help organizations develop applications once and deploy them anywhere, integrate security across the breadth of their IT estate, and automate operations with management visibility. With IBM, you also have access to new skills and methods, governance and management approaches, and a deep ecosystem of industry experts and partners.