Top Remote Python Jobs in Washington, DC

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

The role involves developing perception components for self-driving vehicles, analyzing system performance, and collaborating with cross-functional teams to enhance technology.

Lead the design and development of core platform features, focusing on backend services in Python and API integrations, while managing front-end projects using React and TypeScript in a cloud-based environment.

The Senior Software Developer will redesign applications, migrate from Ab Initio to Python and Oracle SQL, and collaborate with internal teams. Responsibilities include hands-on coding, testing, and analyzing results.

As a Senior Software Engineer, you'll build APIs and data pipelines, develop scalable backend systems, and integrate AI-driven features while collaborating across teams to enhance brand measurement solutions.

The Director of Software Engineering leads technology and AI strategy, overseeing enterprise platforms, data infrastructures, and engineering talent development.

The Senior Quality Engineer will develop automated tests, collaborate with teams for CI/CD integration, and enhance software quality in an agile environment.

You will build and design systems for a virtual infrastructure agent, focusing on cloud operations, user interfaces, and performance evaluation.

As a Forward Deployment Engineer, you'll translate business needs into technical architectures, prototype AI applications, and integrate solutions while collaborating with teams to drive transformations.

The Staff Software Engineer will architect and develop scalable backend systems, mentor engineers, and lead initiatives while improving system reliability and performance.

The Splunk ITSI Engineer will design, implement, and administer Splunk ITSI environments, working with data and creating glass tables. Requires extensive experience in Splunk and related technologies.

The Product / Developer Enablement Engineer accelerates developer adoption and improves platform usability through automation, documentation, and support. Responsibilities include onboarding, scripting, troubleshooting, and collaborating with teams.

Design and scale PaaS and Data Infrastructure for SaaS products. Lead technical execution of distributed systems and automation pipelines while mentoring engineers and enforcing standards for reliability and performance.

Lead the development of the Entity Resolution API, design data pipelines, and build low-latency search systems while collaborating with cross-functional teams.

The Senior Software Engineer will design and build infrastructure for ML model training and deployment, focusing on AWS technologies, reliability, and collaboration with ML teams.

The Senior Software Engineer will develop and execute long-term engineering strategies, maintain commercial data feeds, and ensure system reliability for Wikimedia products.

Design and ship AI-powered features for Axios HQ, build and maintain the product, ensure high-quality code, and integrate LLM applications.

The Founding DevOps Engineer will establish the infrastructure, CI/CD pipeline, observability strategy, and security fundamentals while collaborating with application developers.

As a Senior Backend Engineer, you'll build and maintain backend services for ad buying systems, analyze data to improve performance, and mentor other engineers.

The Principal Backend Engineer will develop and support user-facing products, focusing on scalable web services and robust API programming while overseeing a passionate team in a deadline-driven, fun environment.

As an AI Product Engineer, you'll lead the development and integration of AI products using LLMs and other technologies while collaborating with cross-functional teams.

As an Analytics Engineer, you will build data workflows and analytics products, ensuring data accuracy and reliability while contributing to financial data deliveries.

The Software Engineer will design, build, and maintain backend systems for cloud-connected irrigation, focusing on API development, database management, and system integration with AWS IoT Core, ensuring performance and scalability.

As a Lead Platform Engineer, you will design and maintain data models and infrastructure while collaborating with product teams to ensure data quality and usability. Responsibilities include leading data migrations, improving database systems, and mentoring engineers.

The Azure Virtual Desktop Engineer designs, implements, and optimizes AVD solutions in cloud environments while maintaining security and high availability systems.