Applied AI Engineer, Quants

📋 Description

• Work directly with quantitative investment and trading firms to identify opportunities across
• Design, build, and deploy AI systems that solve important customer problems and produce measurable
• Work hands-on in code to build prototypes, evaluation harnesses, reference implementations
• Make sound technical decisions across models, agents, retrieval, tools, data, reliability
• Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers
• Help customers progress from promising prototypes to reliable production systems, sustained

🎯 Requirements

• Have worked in quantitative research, quantitative development or a closely related role, or can
• Have practical, hands-on experience with LLMs, whether through tools such as Codex or through
• Can point to substantial personal contributions in code, architecture, evaluation, debugging, or
• Are highly proficient in Python and comfortable building and debugging research tools, data
• Bring a rigorous approach to evaluating quantitative, statistical or machine-learning systems, and
• Have navigated enterprise production requirements such as integrations, reliability, observability

🎁 Benefits

• Hybrid work model of 3 days in the office per week
• Relocation assistance to new employees