Top Remote Python Jobs in Washington, DC

As a Senior Software Development Engineer in Test, you'll develop automation tests, collaborate with engineers on product features, and ensure software quality. Your role includes reviewing code, improving tooling, and maintaining product reliability in a fast-paced environment.

The Senior DevOps Engineer at 10Beauty will build and maintain CI/CD pipelines, manage cloud infrastructure, and ensure systems' reliability, particularly for robotic machines.

The Research Engineer will develop automated security analysis solutions for mobile applications and conduct research to identify security issues.

This role involves optimizing large-scale distributed training and inference systems, implementing deep learning optimizations, and collaborating across teams to enhance AI models.

As a Senior Data Engineer, you’ll develop and deploy scalable data services and complex ETL pipelines to analyze blockchain transactions at petabyte scale while collaborating with teams across TRM to enhance product offerings.

The Engineering Lead is responsible for technical leadership, guiding architecture, managing teams, overseeing CI/CD processes, ensuring API security and compliance, and driving continuous improvement.

The Platform Engineer will design, implement, and maintain CI/CD pipelines, automate infrastructure provisioning, and manage cloud deployments, ensuring efficient software releases and compliance with security standards.

The API Developer will design, develop, and maintain APIs for the Department of Veterans Affairs, ensuring integration with systems and optimizing performance while managing multiple API versions.

Design, implement, and maintain blockchain infrastructure and IT services, ensuring performance, security, and reliability, while working with teams to support tech needs.

Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.

Lead and manage platform and data teams, oversee the architecture, data systems, and ensure reliability, performance, and quality of services.

Design and operate secure, scalable infrastructure for multimodal models in GovCloud. Automate deployments, optimize for security, and establish robust monitoring and incident response systems.

As a Senior Staff Infrastructure Engineer, you will design the core infrastructure for an AI SaaS platform, optimizing for performance and security while collaborating across teams to support large-scale video AI models.

As a Solutions Architect, you'll help clients integrate Level AI's platform with their systems, optimizing customer engagement through technical discussions and solution development.

Lead the engineering team to design, develop, and deliver high-quality software products, mentor engineers, and enhance CI/CD processes.

Senior DevOps Engineer/Consultant role focusing on DevOps transformations, coaching clients, managing infrastructure, and automating software delivery processes.

Design and implement backend services for an AI-driven automation platform, focusing on LLM orchestration, API development, and system reliability.

As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.

The ML Engineer will leverage deep learning for natural language processing tasks, impacting Entefy's products while requiring strong machine learning fundamentals and NLP expertise.

The Senior Controls Design Engineer will lead design standards for automation telemetry data links and enhance operational excellence through technology solutions for data centers.

As a Senior Machine Learning Engineer, you will build and productionize ML models, develop scalable infrastructure, and mentor teams to optimize marketing products.

Seeking a Senior Software Engineer to build scalable ML platforms integrating AI tools, collaborating with teams, creating APIs, and providing mentorship.

The role involves designing and implementing cloud-native infrastructure for AI/ML workloads, optimizing Kubernetes environments, and contributing to open-source MLOps tooling.

The Cloud Data Engineer will enhance cloud service operations by ensuring reliability, security, and performance while implementing standards and automation. Responsibilities include building components in Azure, monitoring resources, troubleshooting, and documenting best practices.

Design and develop software for embedded platforms primarily for autonomous vehicle applications, leading initiatives and mentoring engineers.