Venture Capital Intern (Part-time, Fall/Winter)
About The Position
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 its portfolio companies, offering business, technical, and financial expertise to help them achieve their goals. Tower Research Capital is a leading quantitative trading firm founded in 1998, known for its high-performance platform and independent trading teams. The firm has a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Engineers at Tower develop electronic trading infrastructure, solving challenging problems in low-latency programming, FPGA technology, hardware acceleration, and machine learning. Business Support teams are essential to building and maintaining the platform that powers the firm's operations. Tower offers a stimulating, results-oriented environment where motivated colleagues inspire each other.
Requirements
- 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)
- 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
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
Benefits
- Competitive compensation package
- Free breakfast, lunch, and snacks daily
- Opportunities to learn from senior management across the firm
- Mentors from your alma mater and other top institutions
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Education Level
Associate degree
