Senior Algorithm Engineer-ML Inference and Data Systems

Формат работы

hybrid

Тип работы

fulltime

Грейд

senior

Английский

Страна

Israel

Вакансия 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

Senior Algorithm Engineer-ML Inference and Data Systems (Python/ML Infrastructure): Building and optimizing large-scale ML inference, streaming, and data processing systems for production workloads with an accent on high-throughput model inference, distributed systems, and performance optimization. Focus on designing scalable preprocessing pipelines, driving architecture for production ML systems, and improving reliability across distributed inference infrastructure.

Location: Hybrid in Ramat Gan, Israel

Company

hirify.global develops technologies for accident prevention and semi- and fully autonomous vehicles.

What you will do

Design and optimize algorithms and pipelines for large-scale model inference.
Build scalable, high-throughput data processing and streaming systems.
Develop data transformation and preprocessing components for machine learning workloads.
Improve performance, efficiency, and reliability across distributed inference systems.
Collaborate with machine learning researchers, infrastructure, and platform teams.
Drive architectural decisions for production ML and data systems.

Requirements

5+ years of experience in algorithm engineering, ML infrastructure, or data systems.
Strong programming skills in Python.
Hands-on experience with Spark, Polars, Pandas, DuckDB, and AWS.
Strong understanding of distributed systems, scalability, and performance optimization.
Experience building or supporting production ML inference pipelines.
Strong system design and architecture skills.

Culture & Benefits

Work in a hybrid R&D environment focused on algorithms and production machine learning.
Collaborate across research, infrastructure, and platform disciplines.
Contribute to technologies supporting safer and more autonomous driving.

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