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14 часов назад

Senior Software Engineer, AI Research (AI)

154 800 - 227 500$
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

Текст:
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TL;DR
Senior Software Engineer, AI Research (AI): Building, adapting, optimizing, and deploying large language models and agentic AI systems at very large scale with an accent on multimodal data, LLMOps, and production AI infrastructure. Focus on designing robust APIs and container strategies, optimizing training and inference on specialized hardware, and productizing novel research methods.

Location: Hybrid, with two in-office days each week in New York City or Arlington, VA.

Annual base salary: $154,800–$227,500, plus discretionary bonus and company equity.

Company

hirify.global develops an AI-powered intelligence platform that detects emerging events, risks, and threats from billions of public data inputs across text, images, video, audio, and sensor data in more than 150 languages.

What you will do

  • Work with Research Scientists, Engineers, and Data Scientists to build, adapt, optimize, and deploy LLMs and agents in production at very large scale.
  • Design and implement robust API services, libraries, and container strategies supporting the end-to-end LLMOps lifecycle.
  • Optimize deep learning and LLM training and inference for speed and cost on specialized hardware.
  • Drive complex AI problems from research and literature review through data exploration, implementation of novel methods, and productization.

Requirements

  • M.S. in Computer Science or equivalent experience.
  • 5+ years of experience as a Research or Machine Learning Engineer.
  • Experience building, optimizing, deploying, and operating deep learning models with PyTorch, including Transformers and LLMs, rather than only using APIs.
  • Experience collaborating with Research Scientists, reading technical research papers, and implementing state-of-the-art methods in Natural Language Processing, Computer Vision, Knowledge Representation and Management, Vector Databases, and Generative AI.
  • Expertise in Python.
  • Experience with containers, Kubernetes, AWS, Databricks, and agentic infrastructure such as LangGraph, LangFuse, and vector stores.

Culture & Benefits

  • Hybrid work arrangements with offices around the world.
  • Generous paid time off and sick leave.
  • Professional development funds, manager development programming, and employee resource groups.
  • Benefits package focused on employee health and wellness.
  • Mission-driven environment focused on applying AI to real-world events, risks, and public safety.

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