Oracle-posted 8 days ago
Full-time • Mid Level
Seattle, WA
5,001-10,000 employees

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. Join the Oracle Cloud Infrastructure (OCI) team. We’re looking for experienced AI Developers to join our team and help shape the future of OCI Networking using AI. In this role you will lead the design and development team to build advanced AI applications powered by AI models. You will use AI/ML to automate, optimize, and secure networks, focusing on tasks like self-provisioning, auto-ingesting, auto-qualifying systems and self-healing networks, requiring skills in Python, ML frameworks and training AI models. Responsibilities As a Senior AI Developer you will be responsible for building and optimizing large-scale AI systems, ensuring scalability, reliability, and performance. The candidate should be able to work collaboratively with cross-functional teams to drive the development and deployment of AI solutions. If you have a passion for building cutting-edge AI applications and are looking for a challenging role, we encourage you to apply. Strong problem-solving skills, attention to detail, and excellent communication skills are essential for this role. Design and implement scalable orchestration for serving and training AI/ML models Explore and incorporate contemporary research on AI, agents, and inference systems into the software stack for designing, monitoring, troubleshooting and deploying networks. Evaluate, Integrate, and Optimize technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads. Lead initiatives in AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning. Design and develop scalable services and tools to support GPU-accelerated AI pipelines, Python/Go, and observability frameworks.

  • Design and implement scalable orchestration for serving and training AI/ML models
  • Explore and incorporate contemporary research on AI, agents, and inference systems into the software stack for designing, monitoring, troubleshooting and deploying networks.
  • Evaluate, Integrate, and Optimize technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.
  • Lead initiatives in AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning.
  • Design and develop scalable services and tools to support GPU-accelerated AI pipelines, Python/Go, and observability frameworks.
  • Strong Python and ML frameworks (PyTorch, TensorFlow)
  • LLMs, embeddings, vector search, RAG pipelines, and fine-tuning
  • Data engineering: Spark, Kafka, Flink, OCI Streaming/Data Flow
  • Distributed systems and large-scale training/inference
  • Containerization, model serving, GPU workflows, CI/CD, and MLOps tools
  • Writing design docs, scoping features, and owning delivery end-to-end
  • BSEE, BSCS, BSCE, or equivalent.
  • At least 3-5 years of experience building software systems and built AI applications training models.
  • MSEE, MSCS, or MSCE is a plus
  • Medical, dental, and vision insurance, including expert medical opinion
  • Short term disability and long term disability
  • Life insurance and AD&D
  • Supplemental life insurance (Employee/Spouse/Child)
  • Health care and dependent care Flexible Spending Accounts
  • Pre-tax commuter and parking benefits
  • 401(k) Savings and Investment Plan with company match
  • Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
  • 11 paid holidays
  • Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal
  • Voluntary benefits including auto, homeowner and pet insurance
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service