Handshake

Build full-stack Promotions products that connect employer investment with meaningful hiring outcomes at Handshake. You’ll own scalable customer-facing experiences, distributed services, attribution, and analytics from design through launch.

Senior Software Engineer on Handshake’s Growth team, building experiments and scalable products that connect millions of students with employers. The role focuses on measurable funnel impact across onboarding, activation, retention, and notifications.

Join Handshake’s Growth Relevance team as a Machine Learning Engineer I, building and deploying models that improve personalized notifications, lifecycle optimization, and monetization. You’ll work with modern retrieval, ranking, and neural-network systems at marketplace scale.

Build and improve the tools that run builds and tests, review code, and explain failures for Handshake engineers and coding agents. You’ll make development faster, more reliable, and easier to understand.

Senior Software Engineer on Handshake’s Employer team, building full-stack AI-powered sourcing, outreach, recruiting, monetization, and growth experiences. The role owns initiatives end to end and is based five days a week onsite in San Francisco.

Senior Software Engineer, Annotations will build full-stack systems that help operators manage and improve large-scale human annotation workflows for frontier AI companies. The role combines product engineering, distributed systems, quality-control tooling, and high-ownership technical leadership.

Build the data systems that enable frontier AI model training, spanning synthetic data generation, evaluation, privacy, and de-identification. This hands-on role offers significant influence over technical direction and reusable AI data platforms.

Handshake Labs is hiring a high-ownership Member of Technical Staff to build post-training systems, evaluations, data pipelines, and reusable platforms for frontier AI models. The role combines research judgment with hands-on machine learning engineering across fine-tuning, reinforcement learning, evaluation, and productization.