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4 дня назад

Senior Data & ML Engineer (3D Perception)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data & ML Engineer (3D Perception): Building distributed data and evaluation pipelines, data-quality tools, and model packaging workflows for deep-learning perception systems powering autonomous-driving vehicles with an accent on image, video, geometric-data, and GPU-computation workflows. Focus on optimizing memory efficiency and parallel execution, reducing computation and iteration costs, and integrating models with downstream deployment and EyeQ systems.

Location: Ramat Gan, Israel; hybrid

Company

hirify.global develops deep-learning perception solutions for autonomous-driving systems, including semi- and fully autonomous vehicles.

What you will do

  • Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance.
  • Build tools for data exploration, manipulation, validation, and quality assessment across images, video, and geometric information.
  • Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration.
  • Coordinate data contracts and workflows with deep-learning researchers, infrastructure and data teams, and internal customers.
  • Reduce resource-intensive bottlenecks, computation costs, and model iteration time.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field from a leading university.
  • 4+ years of hands-on software or data-engineering experience.
  • Excellent Python and Linux skills with strong software-engineering foundations.
  • Experience with SQL, Spark, and PyArrow.
  • Experience optimizing distributed pipelines or compute-intensive systems for memory use and parallel execution.
  • Familiarity with PyTorch and machine-learning workflows, including datasets, training, checkpoints, evaluation, and GPU computation.
  • Strong ownership, independent problem-solving, and cross-team collaboration skills.

Nice to have

  • Master’s degree in a relevant field.
  • Experience in computer vision or autonomous-driving systems.
  • Familiarity with model deployment, hardware-aware machine learning, or specialized AI accelerators.

Culture & Benefits

  • Hybrid work arrangement in Ramat Gan, Israel.
  • Collaboration with deep-learning researchers and cross-functional engineering teams.
  • Work on large-scale, multi-task perception models for autonomous driving.

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