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4 часа назад

Software Engineer, Machine Learning (AI)

135 000 - 185 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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

Software Engineer, Machine Learning (AI): Building and optimizing AI/ML-driven Picture and Audio Quality improvements for hirify.global TVs in a resource-constrained environment with an accent on model optimization, video and audio processing pipelines. Focus on researching and implementing state-of-the-art ML/DL techniques to solve complex challenges and enhance streaming experiences.

Location: San Jose, California (Salary range provided is specifically for California only)

Salary: $135,000–$185,000 annually

Company

hirify.global is the #1 TV streaming platform in the U.S., Canada, and Mexico, pioneering TV streaming technology and connecting the entire TV ecosystem through its operating system for TVs.

What you will do

  • Explore and implement AI-driven Picture Quality and Audio Quality improvements for hirify.global TV.
  • Apply advanced ML techniques to optimize models for video and audio processing pipelines.
  • Research, understand, and implement technical papers on ML/DL to solve complex challenges.
  • Collaborate with engineering teams and cross-functional partners to translate business requirements into technical solutions.
  • Run experiments and analyze results against critical business KPIs.

Requirements

  • 1+ years of experience applying Machine Learning to concrete problems at scale.
  • Strong CS fundamentals and ability to write efficient algorithms.
  • Hands-on experience with Machine Learning/Deep Learning frameworks like TensorFlow or PyTorch.
  • Proficiency in coding firmware development using C++.
  • Proficiency in coding ML/DL algorithms using Python.
  • Solid understanding of DL fundamentals, including RNN, CNN, and multi-modal models.
  • Familiarity with video processing pipelines and audio pipelines.

Nice to have

  • Research background with ability to understand and implement technical papers on ML/DL.
  • Published papers in the field of ML/DL.
  • MS or PhD in Computer Science, Electrical Engineering, or related fields.
  • Hands-on experience with edge devices like Jetson Nano or Kadas.

Culture & Benefits

  • Work in a fast-growing public company with significant contribution opportunities.
  • Opportunity to delight millions of TV streamers globally and gain meaningful experience.
  • Eligible for health insurance, equity awards, life insurance, and disability benefits.
  • Benefits include parental leave, wellness benefits, and paid time off.
  • Emphasis on AI literacy and curiosity within the team.

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