Senior Research Engineer - Voleon Securities

The Voleon Group; Berkeley (CA); On-site; USD 225,000 - 310,000; Full time

Job summary

The Voleon Group in Berkeley, CA, is seeking a Senior Research Engineer to optimize machine learning-driven research infrastructure and collaborate across teams. You will develop data pipelines, optimize ML training, and mentor engineers. Ideal candidates have 5+ years experience in software engineering with strong backgrounds in Python, backend systems, and distributed computing. The role offers a competitive compensation range of $225K - $310K, reflective of expertise and experience.

Qualifications

• 5+ years of software engineering experience focused on backend systems.
• Strong knowledge of machine learning model optimization.
• Experience in programming with Python, Go, and C++.

Responsibilities

• Develop and optimize ML driven research infrastructure.
• Deploy machine learning models into production.
• Collaborate with engineering support teams.

Skills

Python

Machine Learning

Problem-solving

Collaboration

Data Infrastructure

Backend Systems

Distributed Computing

C++

Go

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Pytorch

Jax

Postgres

MySQL

Cassandra

DynamoDB

MongoDB

Job description

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

Equal Opportunity Employer

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Compensation Range: $225K - $310K