Top Hybrid Python Jobs

As a Senior Software Engineer at Wispr Flow, you will develop the software platform for consumer electronics, focusing on building user-friendly interfaces, ensuring code quality, and implementing best engineering practices while incorporating user feedback for continuous improvement.

The Senior Software Engineer will design, develop, and optimize the computation engine and data platform backend for Alloy.ai. Responsibilities include collaborating with teams to integrate systems, leading architectural design, mentoring junior engineers, and staying updated on technologies related to query engines and databases.

As a Cloud DevOps Engineer, you will collaborate with U.S. Intelligence Community agencies to design, build, and deploy innovative cloud solutions. You will need to provide technical expertise, maintain relationships with stakeholders, and stay current with cloud technologies, working primarily in AWS environments with various automation tools.

The Research Engineer, Computer Vision will focus on the design, development, and deployment of software for self-driving technology, primarily involving 3D visual reconstruction, scene labeling, and optimization. The role includes collaborating with various engineering teams to enhance the auto labeling and mapping processes.

As an Implementation Engineer at Persona, you will lead the onboarding of customers, acting as their technical advisor while managing multiple implementation projects. You'll engage with product and engineering teams to ensure successful integration, develop resources, and automate processes for efficient launches.

In this role, you will enhance Kumo's Graph Neural Network architecture, design innovative ML solutions, tackle diverse use cases, and leverage your machine learning and AI expertise to create scalable solutions. Your work will focus on integrating temporal learning strategies and bridging foundational models with GNNs.

As a Principal Software Engineer specializing in AI/ML, you will develop innovative ML solutions for document processing and search in the commercial real estate sector. You'll build robust ML pipelines, lead integrations of ML models, and work closely with cross-functional teams to enhance the customer experience while ensuring high-quality standards for data annotation and model performance.