Top Tech Jobs & Startup Jobs in Chicago, IL

Reposted 7 Days AgoSaved
Remote or Hybrid
United States
Expert/Leader
Expert/Leader
Artificial Intelligence • Computer Vision • Greentech • Machine Learning • Robotics • Industrial • Automation
Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.
Top Skills: AICloud InfrastructureDevOpsEmbedded SystemsIndustrial AutomationMachine LearningPlatform EngineeringRoboticsScada SystemsSystems Integration
19 Days AgoSaved
Remote or Hybrid
United States
Senior level
Senior level
Artificial Intelligence • Computer Vision • Greentech • Machine Learning • Robotics • Industrial • Automation
Owns complex, cross-functional projects from initiation through closeout. Manages scope, schedules, budgets, resources, risks, dependencies, compliance requirements, change control, governance, and project documentation. Coordinates stakeholders across construction, installation, engineering, supply chain, finance, and legal teams while monitoring KPIs and reporting project health. Requires regular travel to industrial and construction sites with variable environmental conditions and safety requirements.
Top Skills: Google WorkspaceMicrosoft Office SuiteSmartsheet
One Month AgoSaved
Remote or Hybrid
United States
162K-170K Annually
Mid level
162K-170K Annually
Mid level
Artificial Intelligence • Computer Vision • Greentech • Machine Learning • Robotics • Industrial • Automation
Develops and productionizes deep learning and machine learning perception models for robotics and recycling sortation. Responsibilities include experimenting with neural network architectures, designing computer vision solutions, conducting statistical experiments, deploying successful models, collaborating with data, modeling, and cloud infrastructure teams, and improving ML infrastructure.
Top Skills: Computer VisionData PipelinesDeep LearningMachine LearningNeural NetworksPythonPyTorchSQLStatistical ModelingTensorrt
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