FAQs
What is the primary focus of the Software Engineer – Machine Learning, AI role at Tesla's Gigafactory Berlin-Brandenburg?
The primary focus is on building Retrieval-Augmented Generation (RAG) chatbots powered by open-source Large Language Models (LLMs) and evolving them into advanced AI agents.
What programming language is primarily used for this position?
Python is the primary programming language used for this position.
What experience is preferred for applicants regarding machine learning frameworks?
Applicants should have hands-on experience with machine learning frameworks like PyTorch or TensorFlow.
Is experience with building LLM-based applications essential for this role?
Yes, proven experience in building and deploying LLM-based applications, particularly RAG chatbots, is essential.
What types of databases should candidates be familiar with?
Candidates should have a solid understanding of vector databases, such as Pinecone and Milvus.
Will I be collaborating with other teams in this role?
Yes, collaboration with cross-functional teams, including product and design, is a key aspect of the role.
What are the expected qualifications for this position?
A degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent experience is expected.
What types of deployment technologies should candidates know about?
Candidates should have knowledge of containerization technologies such as Docker and Kubernetes for deploying scalable ML systems.
Are there opportunities for research and staying updated on advancements in the field?
Yes, continuous research and staying updated on advancements in LLMs, NLP, and AI is encouraged.
What benefits does Tesla offer to employees in this role?
Tesla offers a competitive salary, Tesla shares or bonuses, a pension program, 30 vacation days, flexible work arrangements, corporate benefits, employee insurances, and relocation and commuting support.