PlusAI
Physical AI
MachineLearningEngineerIntern
Neural analysis suggests this role is
optimal for Entry candidates.
“Machine Learning Engineer Intern at PlusAI. Skills: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Python, Data Engineering, Simulation Technology. Develop and deploy an internal AI chatbot that allows employees to query company knowledge and test results using natural language. Design and build a secure Retrieval-Augmented Generation (RAG) pipeline to pull contextual data from internal sources without compromising data privacy”
What You'll Achieve.
generate realistic, scalable simulation scenarios from text and real road data; expand our capabilities in testing autonomous vehicles using large-scale simulation with LLM-driven solutions
Industry & Context.
synthesize complex data across simulation and road tests to answer questions about passing rates, test mileages, coverage gaps, and testing recommendations
What They're Looking For.
Must Have
Solid understanding of Large Language Models (LLMs), natural language processing, prompt engineering, proficiency in Python for machine learning workflows, scripting, and backend system integration, Experience building data extraction, transformation, and loading (ETL) pipelines, handling both structured and unstructured data, Core understanding of Retrieval-Augmented Generation workflows, text chunking, vector embeddings
Nice to Have
Hands-on experience deploying, fine-tuning, or quantizing open-source models (e. g. , Qwen, LLaMA, Mistral) using frameworks like Hugging Face or vLLM, Experience working with vector databases (e. g. , Milvus, Chroma, FAISS), querying traditional SQL/NoSQL databases, Familiarity with autonomous driving data formats (e. g. , ROS bags), simulation environments, road testing metrics, Experience with LLM orchestration frameworks such as LangChain or LlamaIndex, An understanding of best practices for deploying ML models locally or within secure, internally-hosted environments
What You'll Do.
Develop and deploy an internal AI chatbot that allows employees to query company knowledge and test results using natural language
Design and build a secure Retrieval-Augmented Generation (RAG) pipeline to pull contextual data from internal sources without compromising data privacy
Create automated pipelines to ingest
and structure data from diverse sources
including internal documents
and autonomous driving databases (bagdb
and right-seater logs)
Work with open-source models (such as Qwen) and fine-tune them to accurately understand and process company-specific terminology and AV testing metrics
Enable the system to synthesize complex data across simulation and road tests to answer questions about passing rates
and testing recommendations
Full Job Description
## Description PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. We’re seeking an enthusiastic and driven Simulation/ML Engineer Intern to join our team and work on an exciting project that blends Large Language Models (LLMs) with simulation technology. In this role, you’ll help develop a tool that can generate realistic, scalable simulation scenarios from text and real road data. This is a fantastic opportunity to apply your machine learning and robotics knowledge to real-world challenges, while working on a project that will revolutionize how simulation scenarios are created, with minimal manual effort. You’ll be at the forefront of innovation, helping us expand our capabilities in testing autonomous vehicles using large-scale simulation with LLM-driven solutions. ## Responsibilities Build an AI Assistant: Develop and deploy an internal AI chatbot that allows employees to query company knowledge and test results using natural language. Implement RAG Architecture: Design and build a secure Retrieval-Augmented Generation (RAG) pipeline to pull contextual data from internal sources without compromising data privacy. Develop Data Pipelines: Create automated pipelines to ingest, clean, and structure data from diverse sources, including internal documents, Slack conversations, and autonomous driving databases (bagdb, pluscene, and right-seater logs). Fine-Tune Open-Source LLMs: Work with open-source
Applying for this Machine Learning Engineer Intern role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about PlusAI?
Real rants from real employees. Read before you apply.