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11 часов назад

Senior ML Engineer (AI)

140 000 - 175 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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

Senior ML Engineer (AI): Building production-grade machine learning systems, LLM workflows, and AI-powered equity research products for individual investors with an accent on applied ML, large-scale data systems, and financial reasoning. Focus on designing end-to-end model pipelines, improving inference and evaluation, and operating reliable AI systems at scale.

Location: Hybrid, with 3 days per week in the office at CNBC Headquarters in Englewood Cliffs, New Jersey, USA.

Salary: USD 140,000–175,000 per year

Company

hirify.global is a publicly traded media and technology company whose StockStory business is building AI-powered equity research tools for individual investors.

What you will do

  • Design, build, and operate production ML systems, LLM workflows, and supporting infrastructure.
  • Deliver AI features end to end, from data pipelines and training workflows through inference, monitoring, and evaluation.
  • Contribute to architecture, technical standards, and core product and modeling decisions.
  • Identify and mitigate performance, bias, reliability, and operational risks in AI systems.
  • Participate in code reviews and incident retrospectives while mentoring peers and supporting technical growth.
  • Collaborate with engineers, analysts, investors, and senior leadership on AI products for public-market research.

Requirements

  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • At least 5 years of software engineering experience focused on machine learning or AI systems.
  • Experience building and operating production ML systems at scale.
  • Strong proficiency in Python, TypeScript, or Java.
  • Experience with LLMs, ranking or recommendation systems, search, applied NLP, deep learning, and representation learning.
  • Experience with system design, technical decision-making, and ML training frameworks such as TensorFlow or PyTorch.

Culture & Benefits

  • Small, high-ownership team with fast execution, low bureaucracy, and room to experiment.
  • Direct access to experienced market professionals, senior leadership, and decision-makers.
  • Free onsite fitness center, group classes, and gourmet cafeteria.
  • Dry cleaning, shoe shining, and free shuttle transportation from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City.
  • Health insurance, retirement plans, and paid time off.

Hiring process

  • External candidates may be required to attend an in-person interview at a hirify.global location before a hiring decision.

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