Principal Machine Learning Engineer

Oracle maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions, and locations.

Responsibilities

• Implements machine learning (ML) models for production, ensuring readiness for deployment.
• Automates machine learning workflows, including data extraction, transformation, loading (ETL), model deployment, and monitoring to establish continuous integration and delivery of ML solutions.
• Creates infrastructure and frameworks to monitor the performance and alignment of trained models with design criteria.
• Proactively monitors deployed models, troubleshoots issues independently or collaborates with Data Science teams.
• Develops novel metrics to provide analytical insights for non-technical stakeholders on model performance.
• Evaluates potential data quality issues (e.g., bias, fairness), data security, and privacy impacts on modeling.
• Performs data cleaning, preprocessing, and feature identification to prepare for model training.
• Collaborates with stakeholders (e.g., data scientists, software developers) to integrate ML models into new or existing systems.
• Provides expert troubleshooting and debugging support for ML infrastructure and workflows, creating robust solutions to prevent future issues.
• Develops, maintains, and refines tools, platforms, and services for internal use.
• Writes efficient, bug-free, medium-complexity code from scratch and maintains existing codebases.
• Implements best practices for version control, code review, and deployment.
• Builds and maintains professional documentation for technical processes, including experimentation, data collection, and model building.
• Tests and reviews code for bugs.
• Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion.
• Delegates, monitors, and prioritizes work across multiple projects, providing technical oversight.
• Collaborates across the organization to align on expectations and achieve shared objectives.
• Leverages understanding of business leaders, stakeholders, and customers to ensure solutions meet their needs.
• Supports inclusivity by actively seeking and listening to diverse perspectives.
• Identifies and addresses moderately complex issues, analyzing data to propose solutions.
• Proactively escalates unresolved or critical issues with thorough assessments and potential solutions.
• Reviews, contributes to, and documents problem-solving strategies.
• Pursues learning opportunities to expand knowledge and skills in new areas and stays updated on industry trends.
• Seeks and leverages ongoing feedback and training to improve skills.
• Coaches and mentors junior team members, fostering continuous learning and knowledge sharing.
• Develops and recommends process improvements to increase efficiency and effectiveness.
• Solicits feedback on alternative approaches for continuous improvement.
• Contributes to the talent development pipeline by participating in candidate interviews and providing hiring recommendations.

Skills

• Proficiency in machine learning frameworks, packages, and libraries (e.g., PyTorch, TensorFlow, Keras).
• Familiarity with current developments in the machine learning field and integration into model development.
• Experience in software development, including writing efficient, bug-free code.
• Knowledge of version control, code review, and deployment best practices.
• Ability to evaluate and integrate third-party ML tools into production environments.
• Strong problem-solving and debugging skills for ML infrastructure and workflows.
• Experience in data preprocessing, cleaning, and feature identification.
• Ability to develop and maintain technical documentation.
• Project management and coordination skills for moderately complex tasks.
• Collaboration and communication skills to work with diverse stakeholders.

Pay

Hiring range in USD: $126,200 - $264,100 per year. May be eligible for bonus, equity, and compensation deferral.

Benefits

• Medical, dental, and vision insurance, including expert medical opinion.
• Short-term and long-term disability insurance.
• Life insurance and AD&D (Accidental Death & Dismemberment).
• Supplemental life insurance (Employee/Spouse/Child).
• Health care and dependent care Flexible Spending Accounts (FSAs).
• Pre-tax commuter and parking benefits.
• 401(k) Savings and Investment Plan with company match.
• Paid time off: Flexible Vacation for salaried employees (13 days annually for the first three years, 18 days thereafter; accrual prorated for part-time).
• 11 paid holidays.
• Paid sick leave: 72 hours upon hire, refreshes annually, with a carry-over cap of 112 hours.
• Paid parental leave.
• Adoption assistance.
• Employee Stock Purchase Plan.
• Financial planning and group legal services.
• Voluntary benefits, including auto, homeowner, and pet insurance.