[Remote] Senior Machine Learning Engineer

Note

The job is a remote job and is open to candidates in USA. Oracle brings together data, infrastructure, applications, and expertise to deliver AI and cloud solutions across industries. The Senior Machine Learning Engineer implements, productionizes, deploys, monitors, and integrates machine learning models while contributing to automated workflows, data quality, infrastructure, internal tools, and continuous improvement.

Responsibilities

• Utilizes machine learning (ML) and software development knowledge to implement ML models for production with minimal guidance
• Contributes to transforming machine learning prototypes into production-ready models
• Supports collaboration with multiple stakeholders such as Development Leads, Product Management, Operations, and Release Management to make, adopt, and communicate technical decisions, and shape the development and delivery of software
• Contributes to ML model readiness for deployment by scaling models, cleaning model code, and ensuring production quality standards are met
• Contributes to the automation of machine learning workflows, from data extraction, transformation, and loading (ETL) to model deployment and monitoring, to establish the continuous integration and continuous delivery of machine learning solutions
• Utilizes infrastructure and frameworks to monitor the performance and alignment with design criteria of trained models and/or systems
• Monitors the performance of deployed models and troubleshoots independently or in collaboration with Data Science
• Interprets novel metrics that provide analytical insights to non-technical stakeholders on how well machine learning models are operating
• Identifies potential issues related to data quality (e.g., bias, fairness), data security, and data privacy, and contributes to minimizing their impacts on data analyses and modeling
• Contributes to tasks such as data cleaning, preprocessing, and feature identification to prepare for and enable model training
• Contributes to collaboration with multiple stakeholders (e.g., data scientists, software developers) to integrate ML models into new or existing systems
• Supports the partnership between model development and operations, ensuring smooth deployment and continuous improvement of ML models
• Learns operational considerations of model deployment (e.g., performance, scalability, stability, maintenance)
• Participates in troubleshooting and debugging support efforts, such as addressing issues in machine learning infrastructure and workflow, and helping to create robust solutions to prevent future problems
• Contributes to the development and maintenance of tools, platforms, environments, and services for internal use
• Contributes to the development of efficient, bug-free, low-complexity code from scratch and properly maintains and organizes the existing codebase
• Adheres to best practices for version control, code review, and continuous integration in machine learning projects
• Updates and maintains professional documentation for technical processes (experimentation, data collection and analyses, model building)
• Develops familiarity with current developments in the machine learning field and integrates learnings into model development
• Builds familiarity with the usage and development of third-party machine learning frameworks, packages, and libraries (e.g., PyTorch, TensorFlow, Keras) to continuously evaluate their performance and scalability, and integrate them into production environments
• Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements
• Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency
• Collaborates across teams to align on expectations and achieve shared objectives
• Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships
• Actively listens to diverse perspectives and asks questions to ensure understanding of others
• Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate
• Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors
• Contributes to knowledge sharing and best practices
• Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices
• Seeks out and leverages feedback and training to improve skills
• Contributes to a culture of continuous learning and knowledge sharing with team members
• Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team
• Seeks input from team members on alternative approaches and methods for improving work

Skills

• Applicants are required to read, write, and speak the following languages: English
• Years: 3 to 5+ years

Benefits

• May be eligible for bonus, equity, and compensation deferral.
• 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

Company Overview

• Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions. It was founded in 1977, and is headquartered in Austin, Texas, USA, with a workforce of 10001+ employees. Its website is https://www.oracle.com/.

Company H1B Sponsorship

• Oracle has a track record of offering H1B sponsorships, with 457 in 2026, 1271 in 2025, 846 in 2024, 995 in 2023, 1192 in 2022, 985 in 2021, 755 in 2020. Please note that this does not guarantee sponsorship for this specific role.