Tower Research Capital Senior Index Options Trader at Tower Research Capital focusing on early product development and technical infrastructure. Responsible for technical research, benchmarking, and collaborating with cross-functional teams.
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
Qualification
Experience with GitExperience with applied AI engineeringStrong communication skillsThis internship will be part-time
Required
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
This internship will be part-time, 20 hours per week. Anticipated weekly base salary range $500-$1000.