Senior Machine Learning, AI Engineer
Job Summary
Job Description
- Expertise in Python and ML frameworks (PyTorch/TensorFlow)
- Experience building & deploying LLM-based applications (RAG chatbots)
- Knowledge of NLP, conversational AI, and vector databases
- Backend development (FastAPI, Flask, or Django)
- Excellent problem-solving and debugging skills
- Familiarity with front-end development
- Knowledge of containerization (Docker, Kubernetes)
- Experience with LLM orchestration tools (LangChain, LlamaIndex)
- Competitive salary and Tesla shares/bonuses
- Pension program
- 30 vacation days
- Flexible work arrangements
- Corporate benefits
- Employee insurances
- Relocation and commuting support
18 skills required
Job Details
Gigafactory Berlin forms the perfect basis for rolling out Tesla's incredible success story in Europe. The most important pillar for this is our employees. Their passion, motivation and engagement ensure that we consistently achieve our goals.
The Role
We are seeking talented Software Engineers - ML, AI to join our dynamic team, focusing on building Retrieval-Augmented Generation (RAG) chatbots powered by open-source Large Language Models (LLMs) and evolve into creating advanced AI agents. This role is ideal for engineers passionate about natural language processing (NLP), machine learning, and backend development. You will have the opportunity to develop cutting-edge AI solutions and contribute to the next generation of intelligent chatbot systems.
- Design, develop, and maintain RAG-based chatbots by leveraging open-source large language models (LLMs) like LLaMA, Falcon, and GPT-J, integrating them with external knowledge bases (e.g., vector databases such as Pinecone, FAISS)
- Build and optimize NLP pipelines for tasks such as text retrieval, embeddings, dialogue management, and intent recognition
- Architect scalable and robust backends using Python frameworks like FastAPI or Flask, integrating APIs, external tools, and databases to support chatbot and AI system functionality
- Collaborate with cross-functional teams, including product and design, to deliver user-friendly, intuitive solutions tailored to business and customer needs
- Experiment with and fine-tune LLMs, improve chatbot and agent performance using prompt engineering, and ensure scalable, low-latency deployments in production
- Explore, design, and implement AI agents capable of performing autonomous tasks, including reasoning, planning, decision-making, and integrating with external tools and APIs for multi-step task execution
- Continuously research and stay updated on advancements in LLMs, NLP, and AI, applying cutting-edge techniques to enhance chatbot and AI agent capabilities
- Ensure best practices for software development, including CI/CD pipelines, code quality, scalability, and proper documentation, while participating in code reviews and team improvement efforts
- Expertise in Python with hands-on experience in machine learning frameworks like PyTorch or TensorFlow, along with a strong foundation in ML concepts, particularly statistics and optimization
- Proven experience in building and deploying LLM-based applications, especially RAG chatbots, with deep knowledge of information retrieval, semantic search, and ranking algorithms
- Degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent experience
- Solid understanding of NLP concepts, conversational AI systems, and vector databases (e.g., Pinecone, Milvus)
- Familiarity with tools for LLM orchestration, such as LangChain or LlamaIndex
- Experience with backend development using frameworks like FastAPI, Flask, or Django
- Knowledge of containerization (Docker, Kubernetes), and deploying scalable ML systems
- Excellent problem-solving and debugging skills, with a focus on optimization and scalability
- Familiarity with front-end development technologies (e.g., React) and frameworks is highly desirable
- Understanding of CI/CD practices, software development methodologies, and Agile principles
- Excellent collaborative skills to work effectively with cross-functional teams
- Proficiency in working in a high-impact, responsive, and collaborative team environment
- Smart but humble, with a bias for action
What we offer
You will be working in our state-of-the-art Gigafactory, where you’ll solve the world's most interesting problems with the best and brightest people who share a passion to change the world. Tesla’s compensation package includes competitive salary and Tesla shares or bonuses. Typical benefits that are offered are a pension program, 30 vacation days, flexible work arrangements, corporate benefits, employee insurances, relocation, and commuting support.
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