Highlights
Lead innovation, build cutting-edge ML models, collaborate on map compilation workflows.
Description
Job Summary
pAt HERE, as a Lead AI/ML Engineer, you will play a pivotal role in the development of advanced navigation and autonomous driving solutions. You will lead the design and implementation of machine learning systems that transform real-world data into high-definition maps for vehicles. Dive deep into cutting-edge technologies like computer vision, NLP, and deep learning to build scalable, reliable ML models.
Responsibilities
- Design and develop end-to-end ML solutions for HD, ISA, and ADAS maps.
- Lead the development of ML architectures from data preprocessing to deployment and monitoring.
- Collaborate with cross-functional teams to integrate ML outputs into map compilation workflows.
- Conduct code reviews and champion best practices in ML engineering.
- Implement MLOps practices for continuous integration and deployment, model versioning, feature stores, drift detection, and experimentation frameworks.
Required Skills
- Python
- Data preprocessing
- Machine learning algorithms
- Docker/Kubernetes
- MLOps practices
Required Skills Explained
{'htmlulist': ['
System architecture: Understanding of how to design and manage complex systems that include machine learning components.', '
Machine learning: Proficiency in applying various machine learning techniques, including deep learning, for creating robust models.', '
Absorption of data: Knowledge on how to preprocess and transform large datasets effectively.', '
Deployment and monitoring: Ability to deploy ML systems and monitor their performance for continuous improvement.', '
Agile practices: Familiarity with Agile methodologies, including code reviews and architecture reviews.', '
ETL pipelines: Experience in building data transformation pipelines for large-scale data engineering tasks.', '
MLOps: Understanding of MLOps principles such as CI/CD, model versioning, drift detection, and experimentation frameworks.', '
Programming languages: Strong development experience with Python, SQL, and other relevant programming languages.']}
Who is this for
pThis role is ideal for a seasoned AI/ML Engineer with a deep understanding of machine learning and data engineering. You should have experience in developing scalable ML systems and working with large datasets.
Why This Job is a Good Opportunity
{'htmlulist': ['liTo work at the cutting edge of AI/ML technology in mapping products that are shaping the future of autonomous driving.', 'liA chance to collaborate with a diverse and innovative team dedicated to transforming real-world data into digital maps for vehicles.', 'liOpportunity to contribute directly to the development of advanced navigation systems used by major automotive customers.', 'liFlexible working environment that supports continuous learning and personal growth through workshops, training, and access to cutting-edge tools.', 'liA fast-growing company committed to making a positive impact on society through innovative technology solutions.']}
Interview Preparation Tips
{'htmlulist': ['
Review your experience with machine learning projects, especially those involving system architecture and MLOps practices.', '
Prepare examples of how you have successfully implemented CI/CD pipelines for ML models or managed data preprocessing tasks.', '
Besides technical skills, highlight any leadership roles in previous projects where you guided a team through the development process.', '
Be ready to discuss your experience with specific tools and platforms like AWS, Spark/Flink, Docker/Kubernetes, and Jenkins.', '
Discuss how you have translated business requirements into scalable ML system designs, showcasing your ability to connect theory with practical application.']}
Career Growth in This Role
{'htmlparagraphs': ['This role offers significant opportunities for career growth within the realm of AI/ML engineering. With advancements in technology and increasing demand for skilled professionals in this field, you can expect to take on more complex projects and lead teams as your experience grows.', 'There is a clear path for advancement into senior roles such as Director or VP of Engineering, where you will have the opportunity to shape the overall strategy and direction of AI/ML initiatives within the company.', 'Continuous learning and development are encouraged, with access to various training programs and resources that help keep your skills up-to-date with emerging trends in AI and machine learning.']}
Explore More Opportunities
Skills
Frequently Asked Questions
What kind of projects will I work on?You’ll work on developing machine learning systems that transform real-world data into high-definition maps for vehicles, including HD lane models and location-based datasets.
Do I need experience with specific tools or platforms?Experience with AWS (S3, EMR, Lambda, SageMaker) is preferred, but not mandatory. Knowledge of Spark/Flink and ETL pipelines is also beneficial.
What kind of team culture can I expect at HERE?HERE fosters a collaborative and innovative environment with Agile practices. You’ll work closely with cross-functional teams to bring cutting-edge solutions to life.
