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Research Engineer (AI)

200 000 - 250 000$
Формат работы
onsite
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

Текст:
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TL;DR

Research Engineer (AI): Working on real production use cases of LLMs and other ML techniques to solve business problems and create groundbreaking AI applications with an accent on development of novel algorithms and techniques to address core research problems in natural language processing, data extraction, and autonomous reasoning. Focus on data-efficient learning, agentic reasoning, and multi-modal interaction.

Location: All full-time roles are in person in New York.

Salary: $200K - $250K

Company

hirify.global is rethinking how we bring new therapies to market, and our path to doing so is significantly de-risked.

What you will do

  • Scope and spearhead AI augmentation and automation projects across our product surface area.
  • Stay on top of emerging AI methods and guide decisions around which models and techniques to adopt.
  • Establish research strategies for various AI methods, including rigorous experimentation and evaluation protocols.
  • Develop novel algorithms and techniques to address core research problems in natural language processing, data extraction, and autonomous reasoning.
  • Participate actively in client engagements, working directly with customers to understand requirements and deliver innovative solutions.
  • Work closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitability.

Requirements

  • Strong programming skills and general Computer Science knowledge.
  • Strong research background in ML/NLP, demonstrated through publications in top-tier conferences or significant open-source contributions.
  • Experience working on complex ML problems (e.g., data-efficient learning, reasoning agents, or multi-step workflows) and deploying those solutions in production environments.
  • Deep understanding of modern ML methods, including transformer architectures, attention mechanisms, reinforcement learning, and multimodal models — with proficiency in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong written and verbal communication.
  • Track record of moving quickly and delivering on goals.

Culture & Benefits

  • High-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles.
  • Competitive compensation with meaningful equity.
  • Fully covered medical, vision, and dental insurance.
  • Unlimited paid time off (PTO) and 16 weeks of parental leave.
  • Lunch at the office every day and Dinner at the office after 7 pm.

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