1 час назад
Experienced Deep Learning Software Engineer - Algorithms & Data
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Experienced Deep Learning Software Engineer - Algorithms & Data (Deep Learning/Computer Vision): Building road perception models, end-to-end data pipelines, and algorithms for autonomous vehicle production systems with an accent on multi-sensor data, geometric reasoning, and distributed infrastructure. Focus on transforming 2D image data into 3D world models, developing evaluation metrics, and operating large-scale datasets across cloud and on-premise environments.
Location: Ramat Gan, Israel; hybrid workplace
Company
Develops road perception technologies for accident prevention and semi- and fully autonomous vehicles.
What you will do
- Own road data pipelines end to end, including dataset and database tooling across S3 and on-premise infrastructure.
- Design algorithms for large-scale vision and multi-sensor data, including maps and sporadic inputs.
- Apply geometric reasoning to transform 2D image-space information into 3D world-space representations for perception and world modeling.
- Implement and develop algorithms for an autonomous vehicle production system.
- Build evaluation tools, algorithms, metrics, and supporting infrastructure.
Requirements
- Bachelor's degree in Computer Science or an equivalent qualification.
- 3+ years of software development and data pipeline experience.
- Familiarity with deep learning and the model development lifecycle.
- Strong Python skills and experience with standard data libraries.
- Experience with cloud development and distributed data pipelines.
- Technical curiosity and willingness to experiment and develop deep conceptual understanding.
Nice to have
- Strong C or C++ skills.
- Experience with deep learning and transformers.
- Data-oriented mindset.
Culture & Benefits
- Work in a hybrid R&D software environment.
- Contribute to technologies focused on accident prevention and autonomous driving.
- Use of AI tools may support parts of the hiring process, while final decisions are made by people.
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