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2 дня назад

Senior Applied ML Engineer (LLMs & NLP)

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 Applied ML Engineer (LLMs & NLP): Building production-grade ML systems, LLM workflows, and AI-powered equity research products with an accent on large-scale data systems, financial reasoning, and NLP. Focus on designing end-to-end model pipelines, improving inference and evaluation, and operating reliable AI systems used by individual investors.

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

Salary: USD 140,000–175,000 yearly.

Company

hirify.global is an independent publicly traded media company whose CNBC business is developing AI-powered equity research products for individual investors.

What you will do

  • Design, build, and operate production ML systems, LLM workflows, and platform infrastructure.
  • Own AI feature delivery across data pipelines, training workflows, inference, monitoring, and evaluation.
  • Contribute to architecture, technical standards, modeling decisions, and system design.
  • Identify and mitigate performance regressions, bias, operational risks, and reliability issues in AI systems.
  • Participate in code reviews and incident retrospectives while mentoring peers and supporting technical growth.
  • Work with engineers, analysts, investors, and senior leadership to build 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, applied NLP, ranking or recommendation systems, or search.
  • Knowledge of deep learning, representation learning, neural networks, model training, and human-in-the-loop evaluation workflows.

Nice to have

  • Experience with TensorFlow or PyTorch training pipelines.
  • Experience with CNNs, RNNs, Transformers, tokenization, sequence labeling, embeddings, text classification, or information extraction.
  • Interest in investing, public markets, and fundamental business analysis.

Culture & Benefits

  • Small, high-ownership team with fast execution, autonomy, and limited bureaucracy.
  • Direct access to senior leadership, market professionals, analysts, and former hedge fund managers.
  • Free onsite fitness center, group classes, and gourmet cafeteria.
  • Free shuttle transportation from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City.
  • Employee benefits may include 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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