Senior Machine Learning Engineer

16 hours ago

Seattle, Washington, United States Oracle Full time
Job Title: Senior ML Engineer

At Oracle Cloud Infrastructure (OCI), we are building 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.

Our team is committed to delivering excellence through our values of equity, inclusion, and respect for all. We strive to make a positive impact through our products and actions, and we are constantly learning and growing as individuals and as a team.

You will be part of a dynamic and flexible workplace where you'll belong and be encouraged to do your best work. As a Senior ML Engineer, you will be working at the forefront of Generative AI (GenAI) landscape, building platform for AI/ML evaluation & benchmarking and revolutionizing how high-quality synthetic data generation works.

Key Responsibilities:
  1. Design and develop AI software in Java, Python, and other languages.
  2. Participate in the entire software lifecycle – development, testing, CI/CD and production operations.
  3. Participate in the entire model development cycle - training, fine-tuning, model serving, evaluation/benchmarking and human preference learning.
  4. Apply engineering principles for defining robust and maintainable architectures and designs.
  5. Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI.
  6. Design and build distributed, scalable, fault tolerant software systems to facilitate development of GenAI models.
  7. Identify requirements, scope solutions, estimate work, schedule deliverables. Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture.
  8. Contribute to publications, blogs and open source ML performance submissions partnering with product managers.
  9. Balance between product feature development and production operational concerns like ops automation, structured logging, instrumentation for metrics and participating in on-call.
Qualifications:
  1. BS or MS degree in computer science, or equivalent.
  2. 3-5+ years of developing and shipping enterprise distributed and/or cloud native systems.
  3. Strong grasp of system design fundamentals and distributed systems architectural best practices.
  4. Demonstrated ability to write great code in Java, Python, or similar OO languages.
  5. Experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols.
  6. Experience with containers and container orchestration technologies (Kubernetes, Docker).
  7. Strong desire to make an impact and thrive in collaborative and energetic environments.
  8. Ability to effectively communicate technical concepts verbally and through design aspects.
Preferred Skills and Experience:
  1. Data science and machine learning knowledge would be helpful, but not required.
  2. Production experience with Cloud and ML technologies.
  3. Experience working in the below areas and algorithms will be ideal but not mandatory: Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation Algorithms: Transformer models, Attention mechanism, Prompt tooling

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