Top Tech Jobs & Startup Jobs

The Global Talent Acquisition Specialist will manage complex recruitment processes across various functions, partnering with senior leaders, sourcing talent, improving workflows, and enhancing diversity initiatives.

Develop and maintain Android applications with integrated AI features, focusing on performance and UX. Collaborate with backend and ML engineers for stability and scalability in production.

As VP of Engineering, you'll lead the application engineering strategy and team, integrating AI capabilities into products while ensuring quality and execution across backend, mobile, and desktop platforms.

Lead the application engineering strategy, manage a team, make critical decisions for AI product integrity and performance, and ensure system quality.

Manage complex, non-technical global hiring processes, develop sourcing strategies, partner with leaders on talent strategies, and track performance metrics.

Lead the research and development of AI systems with a focus on reasoning, planning, and evaluation. Oversee the evolution of machine learning models and technical strategies, collaborating with engineering teams to shape product intelligence.

The Technical Lead, Machine Learning will build and manage end-to-end ML pipelines, design scalable systems, and oversee deployment for high-performance AI applications.

Lead the AI product strategy, collaborating with engineers to balance user needs and technical feasibility, ensuring quality and timely product delivery.

Responsible for developing and deploying production-grade ML systems, overseeing training pipelines and inference systems, and ensuring robust model evaluation and optimization.

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.