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10 дней назад

Research Engineer - Vision & Vision-Language Models (AI)

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 - Vision & Vision-Language Models (AI): Building next-generation models for image understanding, computer use, and agentic visual tasks across data generation, pretraining, post-training, reinforcement learning, and evaluation with an accent on large-scale multimodal training and end-to-end model development. Focus on designing rigorous ablations, optimizing distributed training and data-processing pipelines, and developing visual agents for complex multi-turn interactions.

Location: On-site in San Francisco, United States

Company

hirify.global's Vision Team develops AI models for image understanding, computer use, and agentic visual tasks.

What you will do

  • Develop vision-language models across pretraining, post-training, reinforcement learning, and evaluation.
  • Run large-scale vision and multimodal training experiments.
  • Source, generate, curate, process, and evaluate vision and multimodal datasets, including synthetic data.
  • Develop computer-use agents, visual agents, and other multi-turn agentic vision systems.
  • Design architecture, data, and training-methodology ablations and improvements.
  • Optimize model-training and data-processing stacks for large-scale execution.

Requirements

  • Strong machine learning intuition, research judgment, and the ability to take ambiguous problems from conception through experimentation and execution.
  • Strong implementation and prototyping skills, with the ability to turn ideas into experiments quickly.
  • Experience with large-scale model pretraining, post-training, reinforcement learning, or related methodologies.
  • Experience with vision, vision-language, video, multimodal models or datasets, and image-processing pipelines.
  • Experience training models on large-scale, multi-node GPU clusters and working with highly parallel data-processing pipelines.
  • Proficiency with PyTorch and Python, strong experimental methodology, and the ability to work effectively in large pre-existing codebases.

Nice to have

  • Experience with computer-use agents, visual agents, GUI understanding, or multi-turn multimodal tasks.
  • Frontend, web framework, UI/UX, or mobile development experience.
  • Published machine learning research in respected venues.
  • Postgraduate study in computer science, engineering, mathematics, physics, or machine learning.

Culture & Benefits

  • Methodical research and engineering approaches to ambitious goals.
  • Opportunity to contribute across the entire model development lifecycle.
  • Fast-paced, collaborative, high-energy in-person environment in San Francisco.
  • Medical, dental, vision, and FSA plans, plus a 401(k) plan.
  • Relocation and immigration support on a case-by-case basis.
  • Unlimited PTO, company holidays, in-office meals, and snacks.

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