Top Tech Jobs & Startup Jobs

As a Backend Software Engineer at Tapestry, you'll design and implement scalable infrastructure for AI-driven energy solutions, collaborate with cross-functional teams, and interface with external partners to refine technical requirements.

Own and lead the entire technical stack from hardware and sensors to backend pipelines and ML inferencing. Coordinate software and hardware engineers, set technical direction, build data acquisition and processing pipelines, launch products, mentor junior staff, and ensure reliable, high-performance systems.

As a Product Lead for the Data Platform at Tapestry, you will create a scalable, secure, and user-centric platform for energy data, ensuring compliance and privacy while enabling cross-functional insights and collaboration among product teams and partners.

As an Operations Associate, you will improve efficiency at X by leading complex initiatives, managing projects, championing company culture, and advocating for innovation.

As a hardware engineer at Materra, you'll lead hardware integration for projects focused on AI and robotics in recycling, guiding junior engineers and collaborating with software teams.

The role involves enhancing developer productivity by creating internal platforms, optimizing deployment processes, and mentoring teams to improve cloud-native standards in a seamless and automated manner.

The Executive Business Partner manages executive operations, optimizes processes, drives operational excellence, and fosters team culture while supporting strategic priorities and initiatives.

Develop and improve C++ systems interacting with hardware sensors, build scalable data pipelines, and design deep learning algorithms for chemical data insights.

As a Staff Machine Learning Engineer, you will develop and deploy machine learning models for the electric grid, lead projects in planning and reinforcement learning, mentor junior engineers, and collaborate across teams.

The Machine Learning Engineer will design and deploy multi-modal models while collaborating with cross-functional teams to translate research into production-ready solutions, focusing on climate change mitigation.