Top Tech Jobs & Startup Jobs in Chicago, IL

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

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.

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.

Build and maintain cross-platform Electron desktop apps focused on reliability, performance, and real-time behavior. Implement desktop features (file access, notifications, auto-updates), integrate AI via backend APIs, optimize startup/memory, profile Electron overhead, manage large local state and message history, and ensure stability on macOS and Windows.

Lead production-grade ML systems: build data pipelines, training and evaluation workflows, and scalable GPU inference. Fine-tune and adapt large models (LoRA, QLoRA, SFT, DPO, distillation), optimize deployments for latency/cost/reliability, and collaborate with product and engineering to ship robust, observable model-driven features.

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

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.

You will build and own end-to-end ML systems, focusing on training, evaluation, deployment, and integration with applications, while ensuring quality and efficiency.

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

Work directly with leadership to drive high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Lead projects end-to-end, build teams and processes, research markets and opportunities, and implement operational improvements to deliver measurable business outcomes.