2 дня назад
Software Engineer - Applied AI
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer - Applied AI (Python/AI): Building scalable infrastructure, research environments, evaluation systems, and production AI agents for quantitative research and software development with an accent on model training, post-training, reinforcement learning, and agent evaluation. Focus on designing autonomous systems, implementing sandboxing and policy enforcement, and turning AI experiments into durable systems.
Location: London, United Kingdom; New York, NY, United States; or Singapore
Base salary: USD 200,000–300,000 per year, plus discretionary performance-based bonuses and competitive benefits.
Company
applies scientific methods, advanced computing, and algorithmic trading research to financial markets.
What you will do
- 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 teams across HRT to identify valuable AI applications and turn successful experiments into durable production systems.
- Evaluate new models, techniques, and products, and establish effective AI engineering practices.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Strong Python proficiency and excellent software design, debugging, and problem-solving skills.
- Experience building and operating substantial software systems.
- Demonstrated engagement with modern AI systems, tools, or research.
- Ability to work across research and production engineering, learn unfamiliar domains, and collaborate with varied technical teams.
Nice to have
- Machine learning research or engineering, including post-training, fine-tuning, reinforcement learning, or alignment.
- AI-agent architecture, evaluation, or tool-use environments.
- Distributed systems, model serving, orchestration, or high-throughput research infrastructure.
- Security sandboxing, policy enforcement, adversarial testing, or AI governance.
- Forward-deployed engineering, Linux, systems performance, networking, C++, or TypeScript.
Culture & Benefits
- Scientific and collaborative approach to algorithmic trading and technology development.
- Access to a sophisticated computing environment for research and development.
- Culture of openness, transparency, knowledge sharing, and technical innovation.
- Competitive benefits package and discretionary performance-based bonuses.
- Diverse, inclusive community with collaboration across global offices.
Hiring process
- AI tools are strictly prohibited during interviews or assessments unless explicitly authorized.
- Candidate responses may be evaluated for authenticity, and unauthorized AI assistance may result in disqualification.
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