Top Tech Jobs & Startup Jobs in NYC, NY

Build and maintain cloud-native, large-scale services for deploying, running, fine-tuning, and observing AI agents. Contribute to distributed systems, backend services, tooling, debugging, design discussions, and delivery of production-ready features with strong testing and reliability practices.

12-week in-person research internship at Microsoft Research NYC on self-improving AI systems. Work with mentors and peers on language modeling and reinforcement learning research, present findings, and contribute to projects. Applicants must submit references, a cover letter, and work samples.

Lead applied research projects that move LLM-based code models from research to product: build and train code models, create datasets from public and internal code, run large-scale ML experiments, collaborate with product and engineering teams, and evaluate and iterate AI for developer tools.

Lead and translate AI research into developer products: build datasets from public and internal code, design and run large-scale ML experiments, train state-of-the-art models, collaborate with product teams across Microsoft and GitHub, and evaluate and iterate AI systems for software engineering.

Lead analytics-driven programs to identify global advertising monetization and growth opportunities. Collaborate with Business Planning, Demand Planning, Market Sciences, and Sales Strategy to design demand programs, measure impact, and influence leadership with data-driven recommendations.

Serve as a strategic HR business partner for Cloud + AI, advising leaders, diagnosing organizational effectiveness, driving talent and leadership development, applying data-driven insights and AI-enabled tools, leading strategic projects end-to-end, and delivering scalable HR solutions in partnership with HR centers of excellence and business stakeholders.

Lead design, implementation, and operation of high-performance, real-time auction services on a large-scale distributed advertising platform. Architect and deliver scalable features, optimize performance, run production support, participate in planning, code reviews, and mentor junior engineers.

Partner with engineering and product leaders to source, engage, and hire technical talent for Cloud + AI (Azure) teams. Develop creative sourcing strategies, drive hiring plans using data and market research, manage stakeholder engagement, ensure strong candidate experience, and maintain compliance and documentation (e.g., OFCCP, GDPR). Coach hiring teams and optimize recruiting processes to meet business and diversity goals.

Lead customer-facing data science engagements: manage data acquisition/cleaning, develop and evaluate scalable models, drive modeling best practices, contribute thought leadership, write extensible code, and define solution and business strategy with cross-functional teams.

Lead development of high-scale experimentation platform capabilities, translating research into production features, advancing online experimentation methodology, advising cross-functional teams, and mentoring engineers and scientists to drive trustworthy AI evaluation and measurement.