Senior ML Engineer
Seattle, WA, United States
Oracle
Oracle offers a comprehensive and fully integrated stack of cloud applications and cloud platform services.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.
Values are OCI’s 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.
You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged.
In OCI AI Data org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. We are building platform for AI/ML evaluation & benchmarking and revolutionizing how high-quality synthetic data generation works. We are working at the forefront of Generative AI (GenAI) landscape working with teams across Oracle on multi-modal data generation and leading the framework for Responsible AI (RAI) across Oracle.
Career Level - IC2
Key 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.
Qualifications Minimum Qualifications
- BS or MS degree in computer science, or equivalent
- 3-5+ years of developing and shipping enterprise distributed and/or cloud native systems
- Strong grasp of system design fundamentals and distributed systems architectural best practices
- Demonstrated ability to write great code in Java, Python, or similar OO languages
- Experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols
- Experience with containers and container orchestration technologies (Kubernetes, Docker)
- Strong desire to make an impact and thrive in collaborative and energetic environments
- Ability to effectively communicate technical concepts verbally and through design aspects
Preferred Skills and Experience:
- Data science and machine learning knowledge would be helpful, but not required
- 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
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 $62,100 to $158,200 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
Tags: Architecture CI/CD Computer Science Distributed Systems Docker Engineering Generative AI Java Kubernetes LLMs Machine Learning ML models Open Source Oracle Python Responsible AI Testing
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
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Intern jobs
- Open Junior Data Scientist jobs
- Open Lead Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Data Science Manager jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Marketing Data Analyst jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open MLOps Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open CI/CD-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Data warehouse-related jobs