11 часов назад
Machine Learning Researcher (ML)
275 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Researcher (ML): Designing and building high-performance computational architectures for large-scale knowledge discovery in financial data with an accent on low-level engineering, GPU programming, and rapid application of ML research. Focus on prototyping state-of-the-art techniques, optimizing training workflows, deploying models into trading systems, and solving complex software and hardware challenges.
Location: New York, United States
Annual base salary: $275,000–$350,000, plus variable compensation, a first-year guaranteed bonus, and a sign-on bonus.
Company
is a quantitative strategies firm applying machine learning and software engineering to financial data and systematic research.
What you will do
- Prototype, implement, and evaluate state-of-the-art machine learning techniques.
- Design and build high-performance computational architectures for large-scale knowledge discovery.
- Drive the computational agenda for current and future machine learning projects.
- Solve complex engineering problems across software and hardware layers while anticipating architectural needs.
- Deploy machine learning models into real-world decision-making and trading systems.
- Design efficient training workflows with researchers and transition proof-of-concept systems to broader teams.
Requirements
- Bachelor’s degree or higher.
- Proven experience collaborating with researchers to translate machine learning ideas into high-performance solutions.
- Expertise in performance optimization, low-level engineering, GPU programming, and modern machine learning frameworks.
- Experience with tools or libraries such as PyTorch, JAX, CUDA, XLA, Triton, or PTX.
- Strong understanding of deep learning tooling, hardware, and architectural challenges.
- Ability to solve complex computational problems, create technical demonstrations, and drive engineering agendas in large systems.
Culture & Benefits
- Collaborative environment involving researchers and engineering teams.
- Medical and prescription drug coverage.
- 401(k) contribution matching.
- Wellness reimbursement and family-building benefits.
- Charitable gift matching program.
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