ML Engineer Analyst

We are CARIAD, an automotive software development team with the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun. To achieve that we are building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year. We’re looking for talented, digital minds like you to help us create code that moves the world. Together with you, we’ll build outstanding digital experiences and products for all Volkswagen Group brands that will transform mobility. Join us as we shape the future of the car and everyone around it.

Role Summary

As a ML Engineer Analyst at CARIAD, Inc.'s SDV Hub, you will play a pivotal role in shaping the future of the automotive industry by developing innovative Generative AI and Machine Learning applications for software-defined vehicles. This position is suited for dynamic professionals with 1-3 years of software and ML engineering experience who are passionate about AI and eager to explore new technological frontiers.

Role Responsibilities 

• Development of LLM and AI Models: Design and implement state-of-the-art Gen AI and machine learning models tailored for automotive applications, focusing on efficiency and scalability.
• Data Pipeline Construction: Engineer robust data pipelines that are capable of handling large-scale data sets typical in the automotive industry, ensuring data integrity and speed.
• LLM / ML Deployment: Oversee the full lifecycle of machine learning deployment, LLMOps from initial design to integration, testing, and final deployment within our vehicle systems.
• Technology Prototyping: Rapidly prototype new technologies to validate concepts and push the boundaries of current automotive AI capabilities.
• Performance Optimization: Optimize machine learning models to run efficiently on compute-limited devices, such as those embedded in vehicles, enhancing performance without compromising on quality.
• Cross-Functional Collaboration: Work closely with software developers, data scientists, and product managers to ensure projects are aligned with business goals and delivered on schedule.

Years of Experience

• 1-3 years relevant experience

Required Education

• B.S. in Computer Science (or equivalent education or work experience)

Desired Education

• Master's or PhD in Computer Science (or equivalent education or work experience)

Skills:

• Strong Technical Foundation: Solid background in software engineering and ML model development principles and practices.
• Quick Learner: Ability to quickly absorb and implement new technologies and methodologies.
• Problem Solving: Excellent analytical and problem-solving skills, with the capability to tackle complex challenges in innovative ways.
• Communication and Teamwork: Strong interpersonal skills with a proven track record of successful collaboration in a team-oriented environment.

Required Skills:

• Core Programming: Expertise in Python and familiarity with Android programming languages like Kotlin and Java.
• Machine Learning Proficiency: Hands-on experience with ML frameworks such as TensorFlow Lite, ONNX, and PyTorch, demonstrating a deep understanding of the underlying principles.
• Data Management: Proven experience in designing and managing sophisticated data pipelines and machine learning deployment architectures.

Desired Skills

• Advanced Computing Techniques: Knowledge of OpenCV and practical experience in developing LLM, NLP and Computer Vision applications.
• Industry Experience: Previous work in automotive systems or similar fields involving embedded systems and IoT is highly regarded.

Work Flexibility