Software Developer 4

Seattle, WA, United States

Oracle

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At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for enterprises as a diverse team of creators and inventors. We combine the agility of a start-up with the scale and customer focus of a leading enterprise software company.

Oracle Generative AI Service is a dynamic team within OCI, delivering innovative services at the intersection of artificial intelligence and cloud infrastructure. As part of this team, you will build and operate large-scale cloud services leveraging state-of-the-art machine learning technologies. We are committed to providing the best cloud products to meet the needs of our customers tackling some of the world’s most challenging problems.

You will join a team of smart, hands-on engineers dedicated to solving difficult problems in distributed, highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact by designing and building innovative systems to power our customers' business-critical applications.

As a Principal Machine Learning Engineer in the Generative AI Service team, you will lead the effort to build distributed, scalable, high-performance agentic and serving systems in collaboration with applied scientists and software engineers. You will dive deep into model structure to optimize performance and scalability, building state-of-the-art systems with cutting-edge technologies in this fast-evolving area.

What We Offer:

  • Be part of one of the most visionary and mission-driven organizations in Oracle, working with talented peers from diverse backgrounds worldwide.
  • High visibility to senior leadership, with the opportunity to make significant impacts across organizations.
  • Opportunity to develop state-of-the-art technologies in large language models (LLM) and generative AI at scale to solve real business problems.
  • Close partnership with applied scientists and software engineers to deploy solutions into production in various business-critical scenarios.

Career Level - IC4

  • Lead the design and development of large-scale, high-performance model serving and agentic systems in production environments.
  • Collaborate with customers to understand their needs and ensure their expectations are met or exceeded.
  • Communicate complex technical concepts clearly to team members and stakeholders.
  • Maintain high engineering standards and strive for excellence in all deliverables.
  • Stay updated with the latest advancements in machine learning technologies and apply them to improve existing systems.

Qualifications:

  • MS/PhD in Computer Science.
  • 5+ years of experience implementing Deep Learning/LLM models and systems
  • Production experience with cloud computing.
  • Experience with Large Language Model (LLM) serving technologies like DeepSpeed, FasterTransformer, etc.
  • Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton, etc.
  • Experience with LLM fine-tuning, especially the latest parameter-efficient fine-tuning technologies and multi-task serving technologies.
  • Proficient in Python and shell scripting tools.
  • Experience with container orchestration technologies like Kubernetes.
  • Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers).
  • Experience with production operations and best practices for putting quality code in production and troubleshooting issues when they arise.
  • Ability to work in a collaborative, cross-functional team environment.
  • Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams, and presentations).
Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range: from $94,200 to $223,500 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

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Category: Engineering Jobs

Tags: Architecture Computer Science Deep Learning Engineering Generative AI JAX KServe Kubeflow Kubernetes LLMs Machine Learning Model training Oracle PhD Python PyTorch Shell scripting TensorFlow Transformers

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Startup environment

Region: North America
Country: United States

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