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11 часов назад

Machine Learning Researcher (ML)

275 000 - 350 000$
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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