Top Tech Jobs & Startup Jobs

Lead a team of engineers to design and scale reliable ML systems, ensure high execution standards, and collaborate with tech leads and product teams.

The HR Business Partner will coach managers, advise on organizational decisions, design compensation structures, and build evaluation processes to support employee growth and performance.

Coordinate high-volume interview scheduling across time zones, manage logistics (travel, expenses, rooms, technical support), own candidate communications, scale and train interviewer pools, use scheduling tools to automate processes, collect and audit interview feedback, maintain recruiting documentation and data integrity, and provide ad-hoc operational support for recruiting initiatives.

Build, operate, and maintain research infrastructure (evaluation frameworks, RL training systems, experiment tracking, visualization). Develop scalable distributed pipelines, ensure reproducibility and observability, and partner with researchers and infrastructure teams to accelerate ML research and tooling adoption.

The Executive Business Partner will manage calendars, coordinate travel, support recruiting, and track projects for technical leaders in a fast-paced startup environment.

Build and operate ML research infrastructure: evaluation frameworks, RL training systems, experiment tracking, distributed evaluation pipelines, observability, and reproducibility tooling. Partner with researchers to identify bottlenecks, drive adoption, and integrate tools across infrastructure, data, and product stacks.

Serve as the primary onsite IT engineer for the New York office, handling employee support, onboarding/offboarding, Okta identity management, device fleet management (macOS/MDM), office networking/firewalls, A/V and physical security, Terraform/Git-based workflows for SaaS, vendor coordination, and cross-office collaboration with SF IT and Security teams.

Design, build, and operate macOS endpoint infrastructure and MDM as a production service. Lead MDM migration, manage Santa/Rudolph, implement zero-touch provisioning, continuous posture evaluation, automated patching, software distribution, fleet telemetry, and remediation. Drive automation, observability, incident response, advanced macOS troubleshooting, and technical leadership across IT, Security, Identity, and Infrastructure.

Diagnose and remediate hardware, firmware, and OS issues across large GPU clusters. Own drivers, kernel interfaces, diagnostics, and firmware lifecycle. Automate reliability monitoring, analyze error rates, engage vendors and manage RMAs, and write postmortems to reduce failures and improve fleet reliability for large-scale AI experiments.

Own and debug low-level GPU network fabric (RDMA/RoCE, NVLink/NVSwitch) for large-scale training/inference. Build host instrumentation, triage cross-cloud networking issues, and drive escalations with cloud providers to maintain interconnect reliability at scale.