Note: The job is a remote job and is open to candidates in USA. Oracle is a leading enterprise software company focused on cloud solutions and artificial intelligence. The Principal Machine Learning Engineer will design and develop AI software, participate in the software lifecycle, and build distributed systems to support Generative AI models on OCI infrastructure.
Responsibilities
- Design and develop AI software in Java, Python, and other languages
- Participate in the entire software lifecycle – development, testing, CI/CD and production operations
- Participate in the entire model development cycle - training, fine-tuning, model serving, evaluation/benchmarking and human preference learning
- Apply engineering principles for defining robust and maintainable architectures and designs
- Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI
- Design and build distributed, scalable, fault tolerant software systems to facilitate development of GenAI models
- 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
- Contribute to publications, blogs and open-source ML performance submissions partnering with product managers
- Balance between product feature development and production operational concerns like ops automation, structured logging, instrumentation for metrics and participating in on-call
Skills
- Applicants are required to read, write, and speak the following languages: English
- BS/MS in Computer Science or equivalent experience
- 6–10+ years building and shipping enterprise distributed or cloud-native systems
- Experience scaling heterogeneous CPU/GPU training infrastructure for large multimodal frontier models
- Strong foundation in system design, distributed systems, and cloud architecture best practices
- Proficiency in Java, Python, or similar object-oriented languages
- Experience building highly available services using service-oriented design patterns and service-to-service communication protocols
- Proven ability to deliver impact in collaborative, fast-paced environments
- Strong verbal and written communication skills, including technical design documentation
- Hands-on experience with containers and orchestration technologies such as Kubernetes and Docker
- Production experience with Cloud and ML technologies
- 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
Benefits
- 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
Company Overview
Company H1B Sponsorship