Senior Research Engineer - Voleon Securities

Voleon Securities is an early-stage market maker spun off from Voleon Capital Management. We apply state-of-the-art AI and machine learning techniques to real-world problems in finance, with a focus on market making / liquidity provision. For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities is leveraging Voleon’s deep real-world experience in applying ML to financial markets with a goal to become one of the most profitable market makers on the street. As a Senior Research Engineer embedded within our first quant strategy team, you will own the team’s research infrastructure and overnight pipelines. You will work closely with both researchers on the team and engineers who oversee our trading execution system. You will be expected to help optimize machine learning training and testing environments, architect and maintain data pipelines and job graphs, and help deploy new machine learning driven market making strategies to production. This role has the potential to become a lead research engineer across Voleon Securities. Your Team We look for responsible people with a passion for solving problems. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers. Responsibilities

Develop and optimize ML driven research infrastructure (Python, Pytorch, Jax)

Optimize training and inference for machine learning models (Pytorch, Jax)

Deploy machine learning models from research into production

Develop tooling to integrate data from diverse exchanges and sources

Improve the resilience and performance of our trading systems

Collaborate with external engineering support teams at Voleon, including the trading execution team

Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

5+ years of software engineering experience, with a strong background in backend systems, distributed computing, or data infrastructure

Experience in programming languages such as Python, Go, and C++

Understanding of database technologies (Postgres, MySQL, Cassandra, DynamoDB, SQLite, DuckDB or MongoDB) and experience with APIs (REST/gRPC)

Strong problem-solving skills, with a focus on delivering high-quality, maintainable, and well-documented solutions

Excellent communication and collaboration skills; ability to work closely with both engineering and research teams

Preferred Qualifications

Expertise in building and optimizing data pipelines

Experience with profiling and performance optimizations on highly available systems

Expertise implementing deep learning and RL frameworks in Pytorch or Jax

Experience optimizing research infrastructure and providing engineering support to researchers

Experience building a quantitative market-making strategy

Experience bringing machine learning models into production

Experience leading cross team collaborations or working cross functionally