Top Tech Jobs & Startup Jobs in Austin, TX

The Android Developer will build and maintain AI-integrated Android applications, focusing on UX and system performance while collaborating with backend and ML engineers.

The VP of Research, Machine Learning will set research direction for AI systems, focusing on context representation, reasoning, and evaluation frameworks while ensuring product safety and alignment.

Responsible for building and maintaining end-to-end ML pipelines and deploying production-grade ML systems. Tasks include model fine-tuning, evaluation, and collaboration with engineering teams.

The Head of People Systems will define a strategy for People Systems, build the necessary infrastructure, drive the systems roadmap, and partner with leadership to improve organizational operations and decision-making.

As an Applied AI Engineer, you will build and ship AI features, optimize ML models, ensure production reliability, and collaborate with cross-functional teams.

The role involves leading engineering teams and strategies for AI-powered applications, ensuring integration of ML capabilities into user-friendly systems across various platforms while promoting a culture of technical excellence.

Lead the development of production-grade machine learning systems, build ML pipelines, and optimize models for deployment and performance.

The role involves developing and maintaining cross-platform desktop applications using Electron, focusing on performance, reliability, and real-time collaboration features.

The Recruiting Operations Coordinator manages hiring operations, coordinates interviews, maintains ATS data quality, and supports recruiters, ensuring a high-quality candidate experience.

The Senior Engineer will build and maintain internal tools, ensuring integration and reliability across systems while mentoring junior engineers and driving technical improvements.