Senior Principal Machine Learning Engineer | Oracle Health

Job Description

Do you want to be a part of changing healthcare?

Oracle is excited to be using our resources, knowledge, and expertise-as well as our successes in other industries-and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it's deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care.

Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you'll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences.

About the Team:

As part of the Oracle Health Foundations Organization, you'll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale.

As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of our ML systems. You'll be responsible for not only designing and building production-grade models and infrastructure, but also mentoring others, influencing architectural decisions, and driving cross-team collaboration. This is a high-ownership, high-visibility role where you will combine your engineering acumen with applied ML expertise to solve business-critical problems.

Responsibilities

Responsibilities:

• Design and lead the implementation of machine learning systems that detect anomalies, predict incidents, and enable autonomous reliability features in Oracle Health platforms.
• Develop scalable software services that integrate ML models into observability and operations pipelines.
• Own the full ML lifecycle, including data ingestion, model training, validation, deployment, monitoring, and iteration using MLOps best practices.
• Guide architecture decisions around ML infrastructure, data pipelines, model serving, and observability integrations.
• Partner with cross-functional stakeholders (engineering, SRE, product, operations) to align technical solutions with strategic objectives.
• Mentor and provide technical direction to junior engineers and data scientists on modeling, code quality, and deployment best practices.
• Stay current with emerging technologies in ML engineering, anomaly detection, time series, and reliability automation-and lead efforts to evaluate and integrate them.

Requirements:

• 10+ years of experience in applied machine learning, with at least 3+ years in an engineering-heavy role deploying ML models to production at scale.
• Strong software development and system design skills in Python; experience building APIs, services, and production systems.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Proven experience architecting and deploying models in cloud environments (OCI, AWS, Google Cloud Platform, or Azure), with knowledge of CI/CD, containerization, and orchestration (e.g., Docker, Kubernetes).
• Deep knowledge of time series modeling, anomaly detection, and telemetry data (logs, metrics, traces).
• Proficiency in SQL and distributed data tools (e.g., Spark, BigQuery, Flink, or similar).
• Demonstrated ability to drive technical strategy and influence cross-functional direction.
• Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field preferred.

Skills:

• Machine Learning System Design & Deployment
• MLOps, CI/CD Pipelines, Model Monitoring
• Production-Grade Software Engineering (Python, APIs, Services)
• Anomaly Detection & Forecasting with Observability Data
• Scalable Data Pipelines (Streaming and Batch)
• Cloud-Native Architecture (OCI, AWS, Google Cloud Platform)
• Distributed Systems & Data Engineering (Spark, Kafka, etc.)
• Cross-Team Technical Leadership
• Strong Communication & Influence Skills

#LI-REMOTE

Qualifications

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 in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

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.
Career Level - IC5

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people 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 emailing or by calling +1 in the United States.

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.