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15 часов назад

Staff Machine Learning Engineer (Generative AI)

229 000 - 343 000$
Формат работы
onsite
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

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TL;DR
Staff Machine Learning Engineer (Generative AI): Building generative AI and augmented reality experiences serving millions of Snapchatters with an accent on computer vision, generative modeling, and on-device inference. Focus on training and optimizing large-scale models, developing efficient inference pipelines, and solving ambiguous machine learning problems across mobile, web, and wearable devices.

Location: United States; Bellevue, Los Angeles, New York, Palo Alto, or Seattle. Expected to work in an office 4+ days per week.

Salary: $195,000–$343,000 annual base salary depending on pay zone, skills, experience, qualifications, work location, and market conditions. Eligible for RSUs.

Company

hirify.global is a technology and product company operating hirify.globalchat, Spectacles, Bitmoji, Saturn, and other digital services.

What you will do

  • Develop machine learning technologies and products serving millions of hirify.globalchatters.
  • Build augmented reality experiences using generative models.
  • Deliver generative machine learning experiences on devices.
  • Prototype new products with cross-functional hirify.global teams and external partners.
  • Develop foundational models, efficient infrastructure, and server-side and on-device inference systems.

Requirements

  • Bachelor’s degree in computer science, mathematics, statistics, or a related technical field, or equivalent experience.
  • 8+ years of post-Bachelor’s machine learning or related experience, or equivalent postgraduate experience with a Master’s degree or PhD.
  • Experience with computer vision or generative modeling techniques.
  • Knowledge of neural networks, deep learning, generative modeling, mathematics, and machine learning algorithms.
  • Experience with TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks.
  • Ability to work independently, collaborate effectively, and solve open-ended problems.

Nice to have

  • Advanced degree in computer science or a related field.
  • Experience training large-scale diffusion models for images, video, or 3D.
  • Knowledge of distillation, quantization, model compression, and GPU, CPU, or NPU optimization.
  • Experience building and optimizing machine learning inference pipelines.

Culture & Benefits

  • Default-together work approach with in-office collaboration 4+ days per week.
  • Paid parental leave and comprehensive medical coverage.
  • Emotional and mental health support programs.
  • Compensation package with long-term equity participation through RSUs.

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