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Principal Machine Learning Engineer

3 months ago

Seattle, Washington, United States Oracle Full time

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.

Values are OCI's foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future.

You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged.

This role is available on the OCI AI Services and Data org . We are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. We are building state of the art data processing, model training and benchmarking platform. As Software Engineer on our team, we build services and tools to manage model lifecycle, model provenance, model catalog and model training. We build shared GPU super cluster that enables customers to easily onboard run, monitor and managing AI models at scale with OCI. You will have the opportunity to work on the LLM accelerators, setup ML training and benchmarking platforms, runtimes, libraries in the open-source projects that enable low friction performance optimized large scale training and inferencing of the world's most advanced AI models.

Basic Qualifications

  • Bachelor's degree in computer science, engineering, or an equivalent highly technical field
  • 6+ years of software engineering experience and a proven track record of successfully architecting and shipping high performance, low latency AI/ML enabled products & services
  • Strong technical understanding in building complex, scalable, low latency streaming/batch processing AI/ML cloud services
  • Proven track record on running operations for a cloud service
  • Deep knowledge of large-scale compute, network, and storage systems
  • Experience working with Distributed Systems

Preferred Qualifications

  • PhD or MS in Computer Science or related technical field (Statistics, Mathematics, AI/ML, Operations Research etc.)
  • Experience in scalable distributed backend services design with Cloud Native
  • Demonstrated knowledge and experience with machine learning platforms from major providers (AWS, Microsoft Azure and Google Cloud)
  • Experience in leading multiple geographically distributed teams
  • Handling and working with Compliance frameworks and Healthcare data

Additional Details

  • Required to have worked in at least one of the following areas of Healthcare data processing, Large scale GPU infrastructure for ML training and Inferencing, building pipelines from ML models etc Familiarity with recent ML/AI-based approaches for building and packaging LLMs and large ML models would be highly preferred

Career Level - IC4

  • Build new built on OCI and OCI Native services from scratch.
  • Inspire a culture of 'Always On' Service Operations in the team
  • Present weekly to upper management - Service Escalations and Statistics along with Corrective Actions/Preventive Actions
  • Interface with Architects and technical leads to steer them to continuous Feature Improvements
  • Directly and indirectly manage Globally Distributed engineering team that is fast growing
  • Allocate resources, set priorities, and manage schedules for the team. Work across the platform organization to define and provide inputs to the technology strategy, infrastructure and architecture vision that supports the successful execution of the product roadmap and business strategy.
  • Feed the Service Operations requirements, challenges into service development teams for continuous improvements
  • Responsible to Hire outstanding SDEs, SREs in a competitive environment. Proven ability to motivate, align, and manage high performing, happy and empowered developers.

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