Software Engineer (Machine Learning)
About The Position
Exceptional trading emerges where human intuition meets frictionless experimentation. Our platform and processes enable traders to rapidly investigate ideas, identify emergent patterns, and convert insights into live strategies. This synthesis creates a flywheel of discovery — the key to our pursuit of excellence. THE ROLE: We are looking for a driven Software Engineer to join a fully automated, model-driven trading desk in the Chicago suburbs. You will sit directly alongside a highly experienced team of PhDs in computer science and signal processing. Your core mission will be owning our frontier AI initiatives—building the extraction systems and data pipelines that support our algorithmic trading logic.
Requirements
- Experience: 2–5 years of professional software engineering in a production codebase. (Note: Finance experience is entirely optional—we actively welcome top tech talent from outside the industry).
- Education: A Bachelor's degree in Computer Science, Engineering, or a related technical field.
- Technical Chops: Strong command of Python, data flows, and enterprise-level system architecture.
- Applied AI: Meaningful, hands-on experience building, experimenting with, and deploying LLMs and agent-harnessing tools.
Nice To Haves
- Bonus (C++): Familiarity with C++ is a great plus. While entirely optional, it allows you to interface more seamlessly with our high-performance trading engines.
Responsibilities
- Build AI Agents: Design and deploy agent-based architectures to extract clean trading data from highly unstructured sources.
- Deploy LLMs: Orchestrate frontier and/or self-hosted LLMs to ensure high-fidelity data extraction during volatile market events.
- Engineer the Pipeline: Write scalable, production-quality code that safely delivers AI-generated insights into our live trading infrastructure.
- Maintain Excellence: Champion CI/CD, automated testing, and rigorous deployment standards to ensure system resilience.
- Collaborate on Core Logic: Work directly alongside senior quants to weave your AI systems into our foundational trading algorithms.
Benefits
- We offer competitive compensation packages, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance.
- We believe that working together in person helps solve the complex challenges we solve.
- We require employees to be in the office 2 days per week.
- In-office benefits include lunch, a great location, and amazing colleagues.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
