Machine Learning Platform Engineer

Job Description

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 is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: Working on our next gen platform empowering quant researchers to easily compose custom modeling workflows, with an emphasis on: Reliability, transparency and observability of the system Interoperability across on-prem and multi-cloud infrastructure Working side by side with our researchers and HPC infrastructure team to solve problems in a scalable manner Taking a lead in identifying efficiency and throughput optimizations Continuously enhance the platform to handle ever-increasing data volumes and incorporate cutting-edge machine learning techniques Working in a fast-paced, close-knit and dynamic environment, implementing fixes / features at short notice when needed Qualifications: 4-5 years' experience designing large distributed systems, with passion for performance and high availability at scale Proficient in Python Experience with managing applications on linux HPC clusters and/or cloud platforms Knowledge of GPUs, related technologies and/or machine learning frameworks is a strong plus Strong troubleshooting and problem-solving skills Motivated to learn new technologies and able to work independently Benefits: Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Volunteer opportunities and charitable giving Social events, happy hours, treats and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer. Show more Show less