SENIOR MEMBER OF TECHNICAL STAFF - MACHINE LEARNING
Descripción de la oferta de empleo
We focus on transforming how Software Developers and DevOps engineers build cloud applications for enterprise customers.
Our team is building new ML-powered services to improve developer productivity and automate the process of running cloud services.
We will build RAG-powered applications to surface the right information at the right time, and agent-powered runbooks to automatically diagnose and remediate service issues.
You are the builder here.
You will be part of a team of intelligent, motivated, and diverse people and given the autonomy and support to do your best work using modern backend technologies, including LangChain, open-source LLMs, Kubernetes, Terraform, and more.
Our core values are our 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.
Our team is fully remote.
We currently have members spread across the US, India and Europe.
We practice scrum and leverage Slack and Zoom heavily for day-to-day communication.
The Role As a lead software engineer, you will be responsible for all stages of the software development lifecycle, from requirements gathering to coding, testing, CI/CD, and operational support.
A successful candidate will bring a strong focus on our customers, a passion for innovative products, as well as hands-on experience as a software engineer applying the latest AI technologies.
Ideal Qualifications.
Bachelor’s or Master’s degree in Computer Science or equivalent related field experience Strong software engineering skills Experience in leading the design and implementation of AI-powered services and applications and data pipelines.
Hands-on experience with emerging LLM frameworks such as LangChain, LlamaIndex, vector stores, embedding models and instruction/chat models.
Career Level - IC3 As a senior software engineer on the team, you will Build production systems that improve developer productivity and automate the work of running systems with a focus on LLMs and generative AI technologies.
Be a technical leader and establish culture, as well as mentor other engineers.
Design, implement, and launch data pipelines to clean and ingest data from various internal sources Design and curate datasets and train/finetune models.
Design experiments, test them on users, analyze 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 +, 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
Detalles de la oferta
- Sin especificar
- 12/11/2024
- 10/02/2025
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