Hiring: Founding Engineer - Tower Incubations Company: Tower Research Capital Location: New York, NY Job Posted Time: 2026-09-10 11:39:36 Employment Type: Full-time / Hybrid Target Skills & Keywords : Agile, Bash, CI/CD, Computer Vision, Git, Linux, MLOps, Machine Learning, PyTorch, Python, Reinforcement Learning, SQL, TensorFlow About the job Experience: •25+ year track record of innovation and a reputation for discovering unique market opportunities. •6+ years of full-time engineering experience, with a preference for backend or ML/AI specialization Required Skills: •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 •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. •Resource-Rich with Startup Agility: Benefit from the backing of Tower Research Capital, gaining access to deep technical expertise, financial support, and a network of top-tier engineers and founders—all while working in an agile, fast-moving startup-style environment. •Collaborative Culture: Work alongside curious, driven and highly collaborative engineers, researchers and entrepreneurs who are passionate about solving complex problems and building category-defining companies. 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 •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 •Demonstrated capacity to manage multiple tasks in a fast-paced, dynamic environment Compensation: •Generous paid time off policies Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!