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4 дня назад

Software Engineer (AI)

Формат работы
onsite
Тип работы
project
Грейд
middle/senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer (AI): Developing and deploying AI solutions for power grid optimization with an accent on robust system design, data pipeline management, and software reliability. Focus on building high-scale synthetic data generation workflows, implementing rigorous integration testing, and maintaining performance benchmarking for complex machine learning models.

Location: London, UK (Onsite)

Company

hirify.global is a premier research laboratory dedicated to advancing artificial intelligence to solve complex scientific and societal challenges.

What you will do

  • Design and maintain high-scale synthetic and real-world data pipelines for power grid optimization.
  • Implement comprehensive unit, integration, and system tests to ensure model reliability.
  • Optimize and maintain the machine learning codebase for performance and scalability.
  • Collaborate with research scientists and product managers to translate research into impactful real-world solutions.
  • Establish benchmarking workflows to monitor and improve model performance.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
  • Proficiency in C++, Python, or Jax required.
  • Proven experience in building solutions for robustness and software quality assurance.
  • Experience processing and analyzing large-scale datasets for machine learning applications.
  • Ability to collaborate effectively within interdisciplinary research teams.

Nice to have

  • Experience with Google technical stacks or Google Cloud Platform (GCP).
  • Familiarity with GPU or TPU hardware acceleration.
  • Background in translational research or production software environments.
  • Proficiency in Julia.

Culture & Benefits

  • Opportunity to work on real-world energy infrastructure challenges at the forefront of AI.
  • Collaborative environment with leading researchers and engineers.
  • Access to cutting-edge compute resources and internal Google tooling.

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