Mobileye is a global pioneer in computer vision, machine learning, data analytics, localization and mapping for ADAS and autonomous driving.
Mobileye China R&D Center develops REM, our core mapping & localization solution for autonomous vehicles.
We are hiring a Data Analyst to design and deliver robust, high-efficiency validation frameworks for the REM system - a sophisticated ML & image processing pipeline built on million-scale real-world driving datasets, bringing unique technical challenges and growth opportunities.
You will design and build data validation infrastructure, tooling and methodologies leveraging state-of-the-art technologies and cloud-native platforms.
What will your job look like:
- Improving quality, efficiency and scale adapation of validation processes for test and product maps built from visual data uploaded by millions of vechicles throughout the world.
- Participate in planning, design and implementation of new validation processes and methodology with technology iteration.
- Define and implement end-to-end validation tools with well designed metircs and insights to reflect map quality.
- Integration of existing data anlysis tools, data pipelines to make robust and scalable end-to-end work flow.
- Build and manage data platforms, including data lakes and data warehouses.
- Management and prioritization of daily tasks.
All you need is:
- BSC/MSc in computer science, mathematics, or other engineering subjects.
- Experience with Python (NumPy, SciPy, Matplotlib, Pandas) for data analysis purpose.
- 3+ years of experience in designing, implementing, and automating data analysis, validation or software testing, with a focus on performance analysis for complex, data-intensive, or machine-learning algorithms.
- Strong analytical capabilities and experience in data processing..
- Ability to juggle multiple tasks and build systematic approach.
- Strong ownership and execution mindset, with excellent problem-solving skills and high attention to detail, and the ability to collaborate effectively and deliver in ambiguous, fast-paced environments.
- Fluent English.
Nice to have:
- Knowledge in descriptive statistics, probability, and statistical inference.
- Knowledge in designing and building scalable data pipelines (batch and real-time), including streaming technologies such as Kafka.
- Knowledge in cloud data environment, such as AWS, including services such as S3, Athena and DynamoDB.
Skills Required
- BSc or MSc in computer science, mathematics, or engineering
- Experience with Python (NumPy, SciPy, Matplotlib, Pandas) for data analysis
- 3+ years designing, implementing, and automating data analysis, validation, or software testing with focus on performance analysis for complex, data-intensive or ML algorithms
- Strong analytical capabilities and experience in data processing
- Ability to juggle multiple tasks and build a systematic approach
- Strong ownership and execution mindset, excellent problem-solving, high attention to detail, and ability to collaborate in ambiguous, fast-paced environments
- Fluent English
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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