[Remote] Principal ML Engineer - USA

Note: The job is a remote job and is open to candidates in USA. Oracle is a leading company that has powered many Digital Experiences for the Fortune 500. They are seeking a Principal ML Engineer to develop AI/ML capabilities that enhance user personalization and insights, lead a team of engineers, and work on innovative solutions within the Mail Intelligence AI/ML platform.

Responsibilities

• Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights
• Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences
• Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions
• Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions
• Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge
• Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics
• A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models
• Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences
• Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction
• Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance

Skills

• Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus
• 8+ years of experience in machine learning, data analysis, or a related field
• Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn
• Skilled with AI tools such as Cursor, Copilot, and Claude
• Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML)
• Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations
• Familiar with observability, telemetry, and user feedback loops for product improvement
• Solid understanding of machine learning algorithms, natural language processing, and data mining techniques
• Demonstrated ability to solve complex problems and implement efficient, scalable solutions
• Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams
• Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders
• Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain
• Prior experience working with email systems or related technologies is a plus
• Self-driven and detail-oriented, with a passion for tackling challenges
• Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively
• Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred

Benefits

• Medical, vision, and dental benefits
• 401k retirement plan
• Variable pay/incentives
• Paid time off
• Paid holidays

Company Overview

Company H1B Sponsorship