ML Software Engineer

Location: Jerusalem, Israel; hybrid workplace

Company

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

What you will do

• Develop features end to end, from design and implementation through integration, testing, and deployment.
• Build ML pipelines for diverse dataset creation, data selection, sampling, and efficient model inference.
• Define data curation criteria with algorithm teams and develop diagnostics to evaluate dataset quality and training effectiveness.
• Integrate neural network models into C++ production systems, including runtime, data flow, and pre- and post-processing.
• Move models from research and prototype stages into robust production deployments.
• Optimize latency, memory usage, throughput, CI/CD pipelines, automated testing, and deployment workflows in resource-constrained environments.

Requirements

• B.Sc. in Computer Science, Software Engineering, or an equivalent field.
• 3+ years of hands-on C++ development experience.
• 3+ years of hands-on Python development experience, including NumPy and Pandas.
• Experience working in Linux environments.
• Strong motivation to work with deep learning algorithms, production AI systems, edge deployment, inference runtimes, and performance optimization.
• Ability to collaborate across algorithm, infrastructure, and product teams.

Nice to have

• Experience with autonomous-driving datasets or perception pipelines.
• Background in 3D geometry or a strong mathematical foundation.
• Experience with Airflow, Argo, data curation, active learning, hard-example mining, or distribution balancing.
• 2+ years of data engineering or backend experience with large-scale production data.

Culture & Benefits

• Hands-on, high-ownership work within a growing deep learning LiDAR and Radar group.
• Close collaboration with algorithm developers on production perception systems.
• Work spanning ML infrastructure, model integration, performance optimization, and production delivery.