Founding Engineer

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower Research Ventures (TRV), the venture arm of Tower Research Capital, is dedicated to building and investing in category-defining companies with the same enthusiasm and discipline that Tower applies to public markets. We closely partner with our portfolio companies, offering a diverse set of business, technical, and financial expertise to help them reach their goals, from product development to business growth and beyond.

We are seeking a Founding Engineer to join our incubation efforts for TRV and drive foundational engineering efforts. In this pivotal role, you will be responsible for designing, building, and launching the core product from the ground up. This position is tailored for engineers with a passion for building, particularly those experienced in machine learning (ML) engineering and startup environments.

Responsibilities:

• Acting as a ‘zero to one’ engineer, building out core features and infrastructure
• Establishing and maintaining a technical roadmap for the company
• Evaluating the technical feasibility and scalability of product features
• Leading and building out the engineering side of the organization
• Mentoring and collaborating with new team members as the engineering team grows

Qualifications:

• A bachelor’s or master's degree in Computer Science, Engineering, or a related field
• Strong technical background of 6+ years of full-time engineering experience, with a preference for backend or ML/AI specialization
• Experience with Git, CI/CD pipelines and MLOps for automating model deployments
• Strong knowledge of Python and ML frameworks such as PyTorch or TensorFlow​ and proficiency in Linux, SQL, Git and Bash scripting
• 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)
• Preference for practical AI knowledge through previous on-the-job experience, as opposed to purely academic or research-based knowledge
• Ability to manage multiple tasks in a fast-paced, dynamic environment 
• Strong communication skills

Why Join?

• High-Impact, Fast-Paced Environment: This is the ideal role for engineers who thrive on variety, problem-solving and rapid execution. You'll get to prototype, iterate and deploy real-world solutions quickly, ensuring constant learning and engagement.