Назад
Company hidden
8 дней назад

Founding Research Engineer (AI & Defence)

200 000 - 300 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Founding Research Engineer (AI & Defence): Building quantitative prediction and agent-learning systems for detecting and conducting AI-powered cyber operations with an accent on PB-scale multimodal time-series processing, streaming infrastructure, and behavioural modelling. Focus on creating representations from noisy signals, combining statistical methods with deep learning and transformers, and training agents against sparse, long-horizon rewards.

Location: United States; remote work across Eastern and Central Time Zones in the US. Onsite options include San Francisco Bay Area, San Francisco, San Mateo, Mountain View, Boulder, and Virginia.

Salary: $200,000–$300,000 per year, with some compensation listings including base salary and equity.

Company

Fast-growing defence AI startup developing systems for national-scale cybersecurity problems.

What you will do

  • Build quantitative prediction and agent-learning systems for AI-powered cyber operations.
  • Process PB-scale multimodal time-series data with refresh cycles under one second.
  • Develop streaming and data-capture infrastructure.
  • Create useful representations from noisy, unstructured signals.
  • Model actor behaviour using statistical methods, deep learning, and transformers.
  • Train agents against sparse, long-horizon rewards and take models from hypothesis through deployment.

Requirements

  • Background as a quantitative researcher, developer, or applied machine learning engineer.
  • Strong empirical judgement and hands-on coding ability.
  • Experience with noisy time-series data, signal processing, or behavioural modelling.
  • Experience owning models from hypothesis through deployment.
  • Comfort with both statistical methods and deep learning.
  • Ability to work effectively in ambiguous, high-agency environments.

Nice to have

  • Cybersecurity experience is useful but not required.

Culture & Benefits

  • Founding-level ownership across research and production.
  • Opportunity to help shape the technical team as the company scales.
  • Work alongside quantitative and cybersecurity specialists.
  • Join a revenue-generating company backed by seed investors with significant runway.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →