Top Remote Python Jobs

The Senior Staff Software Engineer will lead the development of IaaS platforms, working with Kubernetes, Kubevirt, and OpenStack to enhance virtual machine management. Responsibilities include strategy execution for software development, ensuring quality, usability, and operational support.

Design and build a unified AI platform, improving machine learning systems, ensuring production excellence, and collaborating with infrastructure teams. Focus on retrieval systems and observability for mission-critical services.

Lead the architecture and development of AI and ML features, design evaluation frameworks, and mentor team members to enhance ML-driven product experiences.

Develop algorithms and models for energy insights, collaborating with cross-functional teams to enhance energy management systems and user engagement.

As a Mid-Level Software Engineer, you'll develop features for APIs and web applications, enhance UI/UX, and collaborate with teams to support business goals.

Lead high-impact initiatives from concept to production, define technical strategy, and mentor engineers to drive innovation and best practices.

Lead key technical projects from design to delivery, mentor junior engineers, develop APIs, and ensure platform scalability and robustness.

Lead architectural design and technical strategy for open-source AI solutions, ensuring successful delivery and client engagement while providing technical advice and risk management.

As a Principal Engineer at NVIDIA, you will develop generative AI models and lead research in speech recognition and natural language processing while mentoring team members.

The role involves verifying deep learning compiler features with testing and benchmarking solutions, collaborating with developers, and improving code quality.

Conduct research on LLMs, optimize agentic workloads, design scalable systems, and collaborate with teams to enhance NVIDIA's software stack.

The Data Architect will design data architecture, define technology stacks and collaborate with teams to build data products, ensuring data quality and solution scalability.

Design and implement financial systems processing millions, lead technical decisions, mentor engineers, optimize system performance, and collaborate across teams.

Develop and deploy machine learning models for ad tech, optimize performance, collaborate across teams, and influence advertising strategy at Netflix.

Design and develop scalable machine learning solutions to enhance Netflix's personalization systems, while collaborating with cross-functional teams.

As an Applied AI Engineer, you will build and maintain systems for AI agent behaviors, integrate applications, and ensure reliability and user feedback mechanisms.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

As a Distributed Systems Engineer, you will architect and build scalable data infrastructure and lead cross-functional projects at Netflix.

Build integrations for data clean rooms supporting ad campaigns. Collaborate cross-functionally and implement privacy-preserving data processes.

Design and develop scalable solutions for machine learning algorithms, collaborating with researchers and engineers to enhance Netflix's personalization systems.

Design and develop systems for batch inference workloads, build developer-friendly tools, and ensure operational excellence for ML practices.

Design and develop machine learning models for media search enhancement, focusing on LLMs and VLMs, while collaborating with interdisciplinary teams.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

The Distributed Systems Engineer will build scalable data infrastructure, enhance data processing systems, and collaborate across teams to leverage data efficiently.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.