Top Remote Senior Level Machine Learning Engineer Jobs in Philadelphia, PA

You will develop AI systems to automate insurance workflows, mentor engineers, drive rapid AI experimentation, and implement solutions. Requires deep experience in AI/ML development.

Build and improve machine learning models and systems to classify and enrich Internet data, collaborating with engineering, research, and product teams.

Lead the development and implementation of machine learning models for energy trading optimization and forecasting, while overseeing a team of data scientists and engineers.

Design and build applications in Python, collaborate with clients, optimize performance, and ensure code quality in AI-driven projects.

The Senior Data/AI Engineer will design, develop, and operate AI-driven backend systems, data pipelines, and APIs, while providing technical guidance and ensuring system reliability and scalability.

The role involves improving AI agent quality through designing experiments, maintaining evaluation infrastructure, optimizing LLM inference, and collaborating with product teams. Responsibilities include end-to-end ownership from research to deployment in a dedicated ML Engineer context.

The role involves designing and deploying ML models to extract knowledge from enterprise data, fine-tuning LLMs/SLMs, and collaborating on a scalable AI platform.

The Machine Learning Engineer will design and build systems that improve the AI shopping agent by using real user feedback, focusing on feedback loops and metrics to enhance user interactions and agent performance.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

Lead a team to advance performance marketing through machine learning and data-driven strategies, optimizing budget allocation and measuring impact.