Top Internships in NYC, NY

Join as an FPGA engineering intern to design, implement, and test FPGA solutions for ultra-low latency trading systems. Improve system efficiency and performance via RTL coding, synthesis, simulation, and hardware validation while collaborating in small teams with engineers and business stakeholders.

11-week software engineering internship building high-performance research platforms and trading tools. Work in small teams to design systems, develop platforms and web frameworks, and apply distributed computing, NLP and machine learning. Collaborate with senior engineers, network with peers, and contribute code that rapidly moves into production.

The intern will utilize machine learning and statistics to extract patterns from data, implement algorithms, back-test models, and communicate findings effectively.

As a PhD intern, you will develop and test trading strategies, perform statistical analysis, and collaborate with senior researchers.

Conduct research using machine learning to analyze data sets, implement algorithms, back-test models, and document findings as a PhD intern.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

Work on production-scale observability and security systems across backend, frontend, infrastructure, and data engineering. Design, build, and optimize distributed, cloud-native services; tackle performance, reliability, and scalability challenges; and deliver end-to-end technical projects while collaborating with mentors and peers.

Support product development by conducting customer discovery, driving initiatives from concept to launch, translating needs into product requirements, analyzing feedback and data, delivering technical demos, and developing technical understanding of Datadog's observability and cloud infrastructure products.

Interns will develop market expertise, apply statistical techniques to trading, learn and adapt trading strategies, collaborate with traders, researchers, and technologists, and use the firms trading platform.

Work as a full‑stack software engineering intern building and improving Notion with an AI-first mindset. Write clean, secure, tested code across web services, databases, and applications; design new product capabilities; debug and enhance features; collaborate cross-functionally and apply AI tools such as LLMs and embeddings.

Summer internship building and debugging full‑stack features (web services, databases, applications) with an AI-first mindset. Write clean, tested code, design product capabilities, prototype AI features, and collaborate cross-functionally in Notion’s NY or SF offices during the internship period.

11-week software engineering internship building high-performance, large-data research platforms and trading tools. Work in small teams on system architectures, distributed systems, NLP and ML, and web frameworks while collaborating with senior engineers.

Ten-week, full-time summer internship applying analytical and strategic skills to business problems. Interns use data, modeling, and technology (e.g., SQL, Python) to drive recommendations, collaborate cross-functionally, and develop business acumen while being mentored and evaluated for full-time rotational program opportunities.

Summer internship supporting consulting projects: analyze data, identify trends, build recommendations and client presentations, participate in problem structuring, collaborate across teams, and receive mentorship while gaining exposure to consulting delivery and industry-specific projects.

Support the Business Development Team by designing and operationalizing top-of-funnel programs and campaigns, managing BDR assets (Salesloft snippets, cadences, scripts), coordinating with marketing and demand-gen, building dashboards, and preparing executive-level materials to drive pipeline growth.

Summer 2027 internship supporting Sector Data Scientist and investment teams by acquiring, cleaning, and analyzing multiple data sources, testing investment hypotheses, identifying key data drivers and inflection points, and presenting research and decision-support tools to inform investment decisions.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

As a Quantitative Researcher Intern, you'll develop models and strategies, conduct statistical analysis, and implement algorithms in a trading context.

Support creator partnerships by building relationships with YouTube creators, conducting research, and collaborating with the team on outreach strategy. Gain hands-on experience in a tech startup environment.

Support planning, executing, and optimizing paid digital acquisition campaigns. Coordinate content and landing pages, run A/B tests, analyze marketing data, create performance reports, and recommend optimizations to improve ROAS.

Manage three branded Reddit accounts: post 2–3 times per week per brand, engage with users and comments per brand guidelines, craft brand-specific Reddit strategies, and coordinate with an outside contractor to manage meetings and goals.

Intern will help turn quantitative research into production equities trading strategies, optimize portfolio allocation and risk, minimize trading costs and market impact, monitor performance, and perform statistical research to improve risk-adjusted returns while making real-time allocation decisions under supervision.

11-week quantitative research internship developing and implementing mathematical and trading models. Responsibilities include model conceptualization, backtesting, live implementation, using unconventional data, and conducting statistical research to refine trading signals and monetization systems.

Part-time remote internship supporting the Email Automation team: transfer and code email copy into templates, maintain templates, perform QA, run semi-weekly A/B tests and data tracking, and assist with organizational and cross-functional email operations.

Assist in monitoring insider risks, support data protection, investigate security alerts, and maintain operational governance in a security team.