Назад
Company hidden
2 дня назад

Machine Learning Engineer (AI)

178 200 - 232 650$
Формат работы
remote (Global)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
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
Machine Learning Engineer (AI/LLM): Developing and scaling machine learning algorithms, models, and AI functionality across Atlassian SaaS products with an accent on deep learning, large-scale data, and production-quality engineering. Focus on designing model and system architectures, running experiments and evaluations, and solving complex product problems for Atlassian Intelligence features.

Location: hirify.globals can choose to work in an office, from home, or a combination of both. Hiring is available in any country where hirify.global has a legal entity; interviews and onboarding are conducted virtually.

Base pay: $178,200–$232,650 in Zone A, $160,380–$209,385 in Zone B, or $147,906–$193,100 in Zone C.

Company

hirify.global develops software products that help teams collaborate, plan, track, and deliver work.

What you will do

  • Develop and implement machine learning algorithms and train models for hirify.global products and services.
  • Design system and model architectures and conduct experimentation and model evaluations.
  • Apply AI and machine learning to product problems and contribute to hirify.global Intelligence features.
  • Collaborate with product, engineering, and analytics teams to build AI functionality across the product portfolio.

Requirements

  • Bachelor's or Master's degree, preferably in Computer Science, or equivalent experience.
  • Expertise in Python or Java and the ability to write performant, production-quality code.
  • Familiarity with SQL.
  • Experience building and scaling machine learning models using large amounts of data.
  • Experience in a consumer or B2C space for a SaaS product provider, or in an enterprise/B2B space.
  • Experience developing deep learning-based models and working on LLM-related applications.
  • Ability to solve ambiguous and complex problems, navigate uncertainty, break challenges into manageable components, and develop innovative solutions.

Nice to have

  • Knowledge of Spark and cloud data environments such as AWS or Databricks.

Culture & Benefits

  • Distributed-first work model with office, home, or combined work options.
  • Health coverage, paid volunteer days, wellness resources, and additional benefits.
  • The role may be eligible for bonuses, commissions, and equity.
  • Virtual interviews and onboarding.

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 →