Venture Capital Intern (Part-time, Fall/Winter)
Tower Research Capital
This job at a glance
- Who can apply
- 25 years+ of experience · Bachelor's degree
- Must know
- Product managementGitCI/CDPythonSQLLinux
- Nice to have
- Machine learning
- Work
- On-site in New York · internship
- Pay
- Not stated by the employer.
- Skill demand
- Product management10%Python6%Git2%CI/CD2%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 2, 2026 · still open
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About the Role
Tower Research Ventures (TRV), the venture arm of Tower Research Capital, is dedicated to building and investing in category-defining companies. TRV closely partners with portfolio companies, offering business, technical, and financial expertise. This is a part-time internship (20 hours per week) for Fall/Winter.
Key Responsibilities
- Assisting in ‘zero to one’ product development, building out early features, prototypes, and technical infrastructure
- Contributing to technical research and benchmarking to inform the engineering roadmap
- Evaluating the technical feasibility and scalability of product features
- Collaborating closely with cross-functional team members across engineering and venture incubations
- Participating in code reviews, technical discussions, and system architecture planning
Requirements & Tech Stack
- Strong foundational programming experience (via coursework, research, or prior internships), with a focus on backend development, software architecture, or AI/ML specialization
- Experience with Git, CI/CD pipelines, and MLOps for automating model deployments
- Strong knowledge of Python and proficiency in Linux, SQL, Git, and Bash scripting
- Strong full-stack development experience using TypeScript and Next.js
- General understanding of end-to-end ML processes
- Expertise in at least one area of applied AI, such as: Computer Vision, Language Modeling, Reinforcement Learning, Generative Modeling (e.g. image, video, audio)
- Experience with applied AI engineering, including working with third-party APIs (such as OpenAI or Anthropic API) and frameworks such as the Vercel AI SDK
- Ability to manage multiple tasks in a fast-paced, dynamic environment
- Demonstrated experience working with messy, incomplete datasets and building robust data preprocessing pipelines
- Strong communication skills
Qualifications
- Currently enrolled in a degree program in Computer Science, Machine Learning, Data Science, Engineering, or a related quantitative field (Master’s degree preferred, or Bachelor’s degree with equivalent experience)