Top Tech Jobs & Startup Jobs

Develop and optimize large-scale machine learning infrastructure, collaborating with quantitative researchers, and enhancing platform capabilities for scalability and efficiency.

Build and scale Tower's ML research platform: design distributed training pipelines, enable large-scale experimentation across HPC and cloud, improve experiment management, model/version tracking, data pipelines, observability, and compute/resource efficiency while partnering with researchers.

Design, operate, and improve large-scale HPC compute and storage across on-prem and cloud. Maintain Linux systems, troubleshoot OS/storage/network/cluster layers, manage batch/container workloads, build management tools and observability pipelines, automate workflows, and optimize cluster utilization and performance.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

Six-month PhD internship on the Central Execution Desk performing execution research: analyzing market microstructure, building simulation and analytics tools, designing and evaluating models, and working with large noisy datasets to support trading and execution decisions.

Maintain and support order management and market data systems for electronic exchanges. Provide L1/L2 production support, monitor system health, coordinate with trading, risk, and compliance teams, architect reliability improvements, act as broker/exchange technical contact, and provide periodic after-hours coverage.

Lead and architect a low-latency, high-frequency cryptocurrency trading platform. Manage and mentor a distributed global engineering team, collaborate with traders and stakeholders, optimize network and systems performance, and build historical data and simulation systems to support trading strategies.

Develop and improve the research framework and tools for a quantitative trading team. Provide day-to-day on-site support to quantitative researchers, implement production-grade Python and C++ code, and integrate statistical libraries and workflow/task scheduling solutions. Collaborate with traders and engineers to enhance research infrastructure and execution capabilities.

Design, implement, and optimize a low-latency high-frequency trading platform for cryptocurrency markets; collect market data, disseminate orders, analyze throughput/latency, build performance tools, and develop access to historical data and simulation systems.