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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** Pearson - **Location:** Providence, RI, United States (Remote available) - **Experience:** Expert - **Salary:** $135,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Big Data, Cloud Computing, Distributed Systems, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Machine Learning, NoSQL, Performance Tuning, Tensorflow, Standard Sql, Software Deployment, Software Engineering, Spring Cloud, Pytorch, System Availability, Large Language Models, Software Application Programming, Backend, Git, Containerization, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Cloud Optimization, Microservices - **Published:** September 16, 2026 - **Apply:** https://dejobs.org/x/x/7184311784374C1D99A3E110DCE9200C/job/ ## About the Role * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent professional experience. * Strong software engineering experience developing complex distributed systems. * Expert-level Python development. * Experience designing and building cloud-native applications on AWS. * Experience developing applications using Kubernetes and container technologies. * Experience designing REST-based APIs and microservice architectures. * Experience working with SQL and NoSQL databases. * Experience with CI/CD pipelines, Git-based development workflows, and automated testing. * Strong problem-solving, communication, and collaboration skills., Experience with one or more of the following: * Machine learning platforms such as MetaFlow, MLflow, Kubeflow, or similar workflow orchestration systems. * Production machine learning systems. * GPU computing and distributed model training. * Large language model deployment or inference infrastructure. * PyTorch, TensorFlow, or similar machine learning frameworks. * Kubernetes operations, scheduling, and workload optimization. * Go development. * Infrastructure as Code technologies. * Performance optimization and cloud cost management. * Building internal developer platforms or engineering productivity tools. What Will Set You Apart * Experience building platforms used by machine learning engineers and data scientists. * Experience deploying and operating production AI or LLM infrastructure. * Experience fine-tuning/deploying/managing foundation models and pipelines. * Experience designing highly scalable cloud-native systems handling large datasets and compute-intensive workloads. * Curiosity about emerging AI technologies and the ability to evaluate them pragmatically. * A passion for building tools that enable others to move faster. ## Description We are looking for a Senior Machine Learning Platform Engineer to lead the evolution of our cloud-native machine learning platform. This role is responsible for designing and developing the infrastructure that enables data scientists and machine learning engineers to efficiently build, train, deploy, and operate production machine learning models at scale. You will help define the future of our AI platform, including distributed model training, GPU-based workloads, large language model hosting, and the tooling that enables research to become reliable production systems. This position offers the opportunity to influence architectural direction while working closely with software engineers, AI scientists, and product teams on technology that directly impacts millions of learners., As a Senior Machine Learning Platform Engineer, you will: * Lead the design and evolution of Pearson's Kubernetes-based machine learning platform supporting large-scale model training and deployment. * Design, implement, and optimize distributed machine learning workflows using MetaFlow and other cloud-native technologies. * Build platform capabilities that enable reproducible experimentation, automated model training, artifact management, and production deployment. * Develop infrastructure supporting GPU-based machine learning workloads for traditional ML models (e.g. transformer-based classifiers), foundational models, and agentic pipelines. * Design and implement backend services and APIs that support machine learning lifecycle management. * Evaluate and integrate open-source technologies that improve developer productivity, platform reliability, scalability, and operational efficiency. * Collaborate closely with AI scientists to transition research prototypes into robust, scalable, production-quality systems. * Improve platform observability, reliability, security, and cloud cost efficiency. * Mentor engineers, contribute to technical strategy, and help establish engineering best practices across the team. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [Software Engineer Career: Things You Should Know](https://www.wearedevelopers.com/magazine/143-software-engineer-career-things-you-should-know) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)