Lead Senior Principal Machine Learning Engineer | Oracle Health (Columbia)

Oracle Health Foundations Organization

Oracle is excited to be using our resources, knowledge, and expertiseand our successes in other industriesto apply 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

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 automationand 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, GCP, 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, GCP), Distributed Systems & Data Engineering (Spark, Kafka, etc.), Cross-Team Technical Leadership, Strong Communication & Influence Skills

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 : 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 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