Machine Learning Engineer - Remote

About The Company

Oracle is a global leader in enterprise technology, providing a comprehensive suite of cloud infrastructure, applications, and data solutions that empower organizations to innovate and grow. Renowned for its commitment to technological excellence, Oracle invests heavily in cutting-edge advancements such as artificial intelligence (AI), machine learning (ML), and generative AI (GenAI). The company’s mission is to enable businesses across industries to harness the power of data and AI to transform their operations, enhance customer experiences, and drive sustainable growth. With a diverse and inclusive workforce, Oracle fosters an environment where innovation thrives, and employees are encouraged to contribute their unique talents to solve complex challenges. The company's focus on research, development, and strategic partnerships positions it at the forefront of the digital revolution, making it a preferred choice for top-tier talent seeking to make a meaningful impact in the tech industry.

About The Role

As a Machine Learning Engineer at Oracle, you will play a pivotal role in designing, developing, and deploying scalable AI and ML solutions that drive innovation across the organization. Your expertise will be critical in building distributed systems, containerization, orchestration, and cloud-native architectures to support the deployment of advanced ML models, including large language models (LLMs). You will collaborate closely with cross-functional teams, including product managers, data scientists, and software engineers, to translate business needs into robust, scalable, and reliable AI systems. The role involves working on generative AI capabilities, conversational AI solutions, and other state-of-the-art machine learning techniques to enhance user experiences and create value for customers. You will also lead initiatives to incubate new ideas, develop high-quality code, and ensure the deployment of efficient, low-latency ML models in production environments. This position offers an exciting opportunity to contribute to Oracle’s strategic investment in AI and shape the future of intelligent enterprise solutions.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Proficiency in Python programming language.
• Experience with ML frameworks such as PyTorch, TensorFlow, or similar.
• Strong understanding of distributed systems, containerization (Docker, Kubernetes), and orchestration tools.
• Hands-on experience with cloud platforms, particularly Oracle Cloud Infrastructure (OCI), AWS, or Azure.
• Knowledge of large language models (LLMs), generative AI, and conversational AI development.
• Familiarity with building and deploying scalable ML pipelines for batch and real-time applications.
• Excellent problem-solving skills and the ability to communicate technical concepts effectively.
• Experience collaborating with cross-functional teams and managing multiple projects simultaneously.
• Understanding of DevOps practices and CI/CD pipelines for ML model deployment.

Responsibilities

• Create detailed design specifications and write clean, efficient, and scalable code for ML systems.
• Lead the incubation of new AI initiatives, architecting solutions that are scalable and reliable.
• Develop, test, and deploy machine learning models, including large language models, ensuring performance and low latency.
• Build and optimize ML pipelines for both batch and real-time data processing.
• Leverage third-party and in-house ML tools, along with OCI platform features, to develop reusable, high-performance ML systems.
• Collaborate with product managers, data scientists, and operations teams to identify opportunities for business impact and prioritize requirements.
• Drive engineering decisions to enhance system efficiency, robustness, and scalability.
• Ensure the quality of deliverables through adherence to development standards and QA procedures.
• Continuously innovate and improve technical solutions through iterative discovery, testing, and feedback.
• Maintain clear communication with project teams, providing regular updates on progress and challenges.

Benefits

• Comprehensive medical, dental, and vision insurance coverage.
• Short-term and long-term disability insurance.
• Life insurance and accidental death & dismemberment (AD&D) coverage.
• Supplemental life insurance options for employees and their families.
• Flexible Spending Accounts (FSAs) for healthcare and dependent care.
• Paid time off, including flexible vacation policies, holidays, and sick leave.
• Paid parental leave and adoption assistance programs.
• Employee Stock Purchase Plan and financial planning resources.
• Group legal services and voluntary insurance benefits such as auto, home, and pet insurance.

Equal Opportunity

Oracle is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive environment where all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We value diversity and are dedicated to providing equal opportunities for all employees and applicants.