Top Tech Jobs & Startup Jobs in NYC, NY

Manage end-to-end growth recruiting program: design and run top-of-funnel campaigns, optimize funnel conversion, own ATS (Greenhouse) and reporting, maintain hiring data integrity, lead recruiting operations improvements, and support hiring/onboarding from the San Francisco office.

Source, screen, and engage high-volume candidates to meet hiring goals; support candidates through the recruiting lifecycle; partner with recruiting and cross-functional leaders to design and execute sourcing strategies; manage evolving processes and represent the brand at occasional onsite recruiting events.

Lead and scale a global ML Research organization focused on frontier generative AI, evaluation, agents, safety, and alignment. Set technical direction, translate research into production solutions, partner with GTM and Fortune 100 customers, manage senior research leaders, and drive cross-functional planning including budget and headcount.

Conduct empirical AI safety research with mentor guidance, owning projects from hypotheses and controlled experiments through analysis and technical writing. Build and debug evaluation harnesses, agent environments, datasets, monitoring methods, and post-training experiments. Investigate model failures, alignment, deception, misuse, multi-agent risks, and evaluation reliability. Produce reproducible code, experiment logs, research analyses, and papers for potential submission to leading machine learning conferences.

Paid, part-time Creative Advisor collaborating with AI research and machine learning teams. The role involves sharing creative expertise, defining quality standards, developing work, reviewing model outputs, identifying limitations, and helping fellow creators engage with the program. Applicants should be leading creators with strong portfolios and interest in shaping AI’s impact on creative practice; no AI experience is required.

Perform part-time quality audits and evaluations of task outputs, define and refine quality benchmarks and scoring rubrics, analyze audit results to produce actionable insights and reports, and recommend process improvements to raise output quality.