Top Python Jobs

The Python AI Engineer will work on AI-driven backend solutions, implement multi-agent systems, and collaborate in an agile environment.

Design, develop, and maintain scalable web applications, optimize user interfaces, and build backend services. Collaborate closely with product and engineering teams.

As a Senior Backend Engineer, you will design, build, and maintain scalable backend systems and APIs, optimize performance, and ensure system reliability.

The Staff Software Engineer will develop full stack web applications, focusing on scalable systems, API development, and collaborating with teams to enhance user experiences.

As a Principal Data Engineer, you will optimize data systems, design scalable pipelines, and establish data governance, collaborating closely with teams to enhance Yahoo News's data architecture.

The Full Stack Software Engineer will develop a compliance software application using front-end and back-end technologies while working in agile teams. They will focus on writing efficient code, designing applications, and collaborating with team members.

Lead the development of user-facing applications and backend systems, ensure best practices, mentor junior developers, and collaborate with stakeholders on product initiatives.

Lead and coach a team of engineers while managing quality and pace of output, collaborate across teams, and develop team members' careers.

Seeking a Senior Full Stack Engineer to develop and maintain integration flows, lead and mentor junior engineers, and collaborate on user-friendly UIs and systems for scalability and reliability.

Lead the development of cutting-edge AI services and platforms for machine learning, ensuring operational readiness and driving innovation in ML workflows.

The Data Engineer will maintain data pipelines, manage cloud services, and work with big data infrastructures while ensuring security and compliance.

The Senior Software Engineer will enhance the CI service within Engineering Systems, collaborate on long-term roadmaps, and improve developer productivity.

As a Frontend Software Engineer, contribute to impactful initiatives, collaborate with cross-functional teams, and design scalable web applications using technologies like React and NodeJS.

The Machine Learning Engineer will design, deploy, and maintain ML models, work with large datasets, and collaborate with teams to enhance AI solutions.

The Staff Machine Learning Engineer will design, code, and deploy ML models, improve backend systems, and mentor engineers.

The Windows Sustaining Engineer will troubleshoot customer issues, collaborate with teams, develop code, optimize performance, and maintain code quality.

As a Machine Learning Engineer at Hive, you will prototype, train, and deploy deep learning models, analyze results, and collaborate with cross-functional teams to implement machine learning solutions in production.

The Staff Machine Learning Engineer will implement ML models, design neural networks, maintain scalable code, and lead cross-functional collaborations in AI development.

The Software Engineer II will rapidly prototype innovative solutions on the BrainOS platform, engaging with stakeholders and collaborating with cross-functional teams to validate market opportunities and customer needs.

Lead the development of scalable software solutions in a remote-first environment, focusing on full stack development with APIs and UI enhancements.

The Senior Machine Learning Engineer will design, implement, and deploy ML models, contribute to engineering standards, and mentor junior engineers.

Design and maintain scalable data pipelines and solutions for business decision-making, improving data warehouse performance, and ensuring data accuracy.

The Staff Software Engineer will integrate hybrid quantum algorithms into workflows, collaborate with teams on APIs, and engage with customers to solve real-world problems using quantum computing.

Lead the development of fault-tolerant quantum algorithms, driving innovation and computational models while collaborating with multi-disciplinary teams and representing IonQ at conferences.

Develop fault-tolerant quantum solutions and contribute to the development of next-generation quantum algorithms while collaborating with teams and customers.