Top Tech Jobs & Startup Jobs in Chicago, IL

Coordinate and schedule phone, virtual, and onsite interviews across time zones; manage ATS records; support onboarding, background checks, campus recruiting, and recruiting operations. Serve as candidate point of contact, prepare interview materials, generate recruiting reports, and improve recruiting processes while maintaining confidentiality.

Senior AI Engineer to design, develop, and productionize machine learning and AI systems for proprietary trading. Collaborate with researchers and traders to implement, optimize, deploy, and monitor models and scalable infrastructure, and contribute to technical direction and mentoring.

The Trade Desk Support Engineer provides L1 to L3 support for service requests/incidents, monitors trading systems, resolves issues, and develops tools for operational efficiency.

Build and operate DV's model layer: fine-tune and distill open-weight models, run on-prem inference infrastructure on Kubernetes, implement a model gateway routing across providers, evaluate model quality/cost/latency, manage GPU provisioning and utilization, and define tooling for model selection and production regression testing.

The Trade Support Engineer will optimize trading operations, support traders, manage Linux environments, and drive strategic projects to enhance trading technology.

Own P&L for one or more areas of the energy business. Build and maintain fundamental and quantitative trading models. Work with risk to ensure compliance with metrics. Collaborate with senior energy traders and learn proprietary trading methodologies and systems.

Develop and enhance low-latency trading software, collaborate with traders, and learn proprietary systems and methodologies in a fast-paced environment.

Provide first-line IT support for end-users via phone, tickets, email, Slack, or in-person. Troubleshoot hardware, OS, software, and network issues; manage incidents and service requests; maintain documentation and IT asset inventory; participate in on-call rotation; collaborate with IT teams to escalate and resolve complex issues.

Support Quantitative Risk Management by building and executing quantitative risk monitoring, designing and analyzing key risk metrics, applying statistical modeling to assess future risk and opportunities, contributing to cross-functional initiatives, and presenting findings to executive management.

Operate and evolve an on-prem Kubernetes platform for latency-sensitive trading systems. Own cluster lifecycle, observability (metrics, logs, traces), CI/CD and GitOps, infrastructure automation, and platform onboarding/support for trading desks. Build tooling, runbooks, and scale platform operations.