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What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.
Job Responsibilities:
Description:
- The Algorithm Intern is responsible for assisting in algorithm R&D and supporting end-to-end dataset construction (including data collection, annotation, and cleansing) to enable robust AI model training and validation.
Duties and Responsibilities:
- Algorithm Development Support: Assist in implementing and tuning core algorithms (e.g., object detection, Bev Net, LLM, VLM) under guidance. Optimize model performance through data analysis, parameter adjustment, and experimental validation.
- Data Pipeline Support: Collect and curate domain-specific data from diverse sources (APIs, public datasets, internal DBs). Responsible for performing data annotation tasks and implementing quality assurance measures to ensure accuracy and consistency in labeled datasets.
- Follow Technical Guidelines: Strictly adhere to algorithm design protocols, code standards, and reproducibility requirements.
- Experiment & Delivery: Deliver algorithm prototypes and validated datasets within deadlines; document technical insights.
- Issue Identification: Proactively flag algorithm performance issues, data anomalies, or scalability challenges to mentors.
- Collaborative R&D: Participate in code reviews, model evaluations, and team technical discussions.
- Learning & Growth: Continuously learn state-of-the-art algorithms (e.g., transformer architectures, diffusion models) and tools.
- Compliance: Comply with data security, IP protection, and daily R&D workflows.
Requirements and Qualifications:
Required Experience and special skills:
- Experience with deep learning frameworks (PyTorch/TensorFlow) and model training pipelines.
- Basic knowledge of algorithm categories: CV/NLP/VLM (e.g., CNN, Transformer, CLIP).
- Familiarity with data preprocessing, evaluation metrics (e.g., mAP, BLEU), and experimental design.
- Exposure to cloud ML platforms is a plus.
- Experience in BEV network is a plus.
- Experience with LoRA fine-tuning of models like Qwen and GLM is a plus.
Required Education:
- Pursuing MSc/PhD in Computer Science, AI, Robotics, or related quantitative fields.
Required Computer Skills:
- Programming Language: Python(required), C++(plus)
- Tools: PyTorch/TensorFlow, Git, Linux/CLI
- Data Handling: HDF5/JSON/Parquet/JPG/PNG, data visualization libraries
- Confluence & Jira
Language Knowledge:
- Fluent in reading English technical literature; basic oral/written communication skills.
- German language is a plus.
Methodological Knowledge
- Structured problem-solving mindset with experimental rigor.
- Ability to implement and validate algorithms based on research papers.
Personal Requirements
- Curiosity-driven with strong self-motivation in algorithmic innovation.
- Meticulous in experiment tracking and result analysis.
- Proactive team player with commitment to deadlines.
Customers and Business Interfaces:
- Internal: Algorithm researchers, product engineers, and data annotation teams.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
Worker Type:
Group:
举报职位
