We Love AI JobsData Analyst
MobileyeThis Data Analyst will build validation frameworks and tools for Mobileye’s REM mapping and localization system, which processes visual data from vehicles. The role focuses on measuring map quality and scaling data analysis workflows for autonomous driving products.
Skills & Expertise
Key Responsibilities
Design and improve validation processes for maps built from real-world visual data.
Build end-to-end validation tools, metrics, and insights to assess map quality.
Integrate analysis tools and pipelines into scalable workflows and data platforms.
Full Description
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.