Software Engineer - Applied AI
Hudson River Trading3 days ago
Base Salary
$200k - $300k/yr
Responsibilities
- Build scalable infrastructure for training, evaluating, and operating language models and AI agents.
- Develop research environments, evaluation systems, and experimentation platforms for measuring and improving agent performance.
- Improve model and agent capabilities through post-training, reinforcement learning, prompting, tool design, and workflow optimization.
- Design sandboxing, policy enforcement, monitoring, and other safeguards for autonomous systems.
- Partner with HRT teams to identify AI opportunities, develop solutions, and operationalize successful experiments.
- Evaluate new models, techniques, and products and advise whether to build, buy, or adapt them.
- Share technical knowledge and establish effective AI engineering practices across HRT.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Strong Python proficiency.
- Excellent software design, debugging, and problem-solving skills.
- Experience building and operating substantial software systems.
- Demonstrated engagement with modern AI systems, tools, or research.
- Relevant experience may include machine learning research or engineering, post-training, fine-tuning, reinforcement learning, alignment, AI-agent architecture, evaluation, tool-use environments, distributed systems, model serving, orchestration, high-throughput research infrastructure, security sandboxing, policy enforcement, adversarial testing, AI governance, or forward-deployed engineering.
- Linux, systems performance, networking, C++, or TypeScript experience is relevant.
- Ability to work across research and production engineering, learn unfamiliar domains, use rigorous measurement, and collaborate clearly with varied technical teams.
Benefits
- Eligible for discretionary performance-based bonuses and a competitive benefits package.
- The role is associated with HRT offices around the globe; no specific remote or office schedule is stated.
Tech Stack
Categories
About Hudson River Trading
Hudson River Trading is a privately held quantitative trading firm that researches and builds automated trading algorithms and low-latency systems. It trades its own capital across global electronic markets in multiple asset classes, often acting as a liquidity provider. Founded in 2002 and headquartered in New York, the firm runs a large-scale trading platform with around-the-clock operations supporting live market activity and risk controls.