Top Tech Jobs & Startup Jobs in Chicago, IL

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.

The Technical Talent Partner will manage the full recruitment lifecycle for US-based technical roles and build candidate pipelines, focusing on screening and coordinating interviews with engineering teams.

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 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 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.

Design user experiences for AI products, create prototypes, collaborate with teams, and refine design systems through testing and insights.

The Lead Technical Recruiter will manage the complete recruitment process for engineering and product roles, engage with candidates, ensure hiring quality, and maintain hiring metrics.

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

Build and optimize backend systems for AI-powered features, focusing on monitoring, reliability, latency, and inference processes.