[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Mercedes-Benz Group · San Jose, US # AI/ML Intern, Long-Term Memory & Multimodal SLMs for Automotive Agents San Jose, US Early career Listed on Mercedes-Benz Group’s official careers site. Posted November 4, 2026. Check that it is still open and apply there. [Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/aiml-intern-long-term-memory-and-multimodal-slms-for-automotive-agents-245385-mer0004a7s) [OpenNash Jobs](https://jobs.opennash.com/) / [Mercedes-Benz Group](https://jobs.opennash.com/companies/mercedes-benz-group/) / AI/ML Intern, Long-Term Memory & Multimodal SLMs for Automotive Agents ## Job description Tasks At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology, to enhance the driving experience and reduce environmental impact. ### Position Overview This internship will start in January of 2027. The Mercedes-Benz AI Experiences department is seeking an AI/ML Intern for Spring and Summer 2027 (both terms) to join the MB.Intelligence Context team. You will build on-device long-term memory for automotive agents using small language models (SLMs), Liquid AI's multimodal LFM3-Omni model (text, image, video, and audio inputs), and trigger-based activation, helping deliver personalized, privacy-preserving experiences in Mercedes-Benz vehicles. ### Job Responsibilities Design and implement multimodal long-term memory (RAG) for automotive agents in resource-constrained in-vehicle environments. Fine-tune LFM3 models, especially LFM3-Omni-2B, and other small language models for memory, preference extraction, and function calling (SFT, LoRA/QLoRA). Apply reinforcement learning (e.g., DPO, GRPO) to improve memory, activation, and tool-use decisions. Build trigger-based activation from multimodal cabin and vehicle signals, using decision models (e.g., LFM3 d1-omni-2B) and lightweight classifiers. Build classifiers for turn detection, PII detection, and intent routing. Optimize and profile models for on-device deployment (quantization, distillation) on in-vehicle hardware. Build evaluation frameworks for memory, retrieval, and trigger accuracy, and present findings to Mercedes-Benz teams. ### Qualifications - Minimum Qualifications: Master's or higher degree, in CS/CE/EE, Math, Statistics, or related fields Python and PyTorch; Git-based workflows Fine-tuning small language models (Hugging Face Transformers, TRL, PEFT, LoRA/QLoRA) - Familiarity with reinforcement learning for language models (DPO, GRPO, or PPO) - Familiarity with multimodal models (text, image, video, and audio) - Familiarity with decision models and classifiers (e.g., calibrated decision models such as LFM3 d1) RAG, embedding models, and vector search - Model optimization (quantization, distillation) and ML evaluation methodology - Strong collaboration and written communication skills Preferred Qualifications: Hands-on experience with Liquid AI models (LFM2.5, LFM3) Edge LLM inference (llama.cpp, LiteRT, ExecuTorch, ONNX Runtime) Privacy-preserving ML, agentic AI/MCP, or Android embedded systems Always-on perception (wake-word, voice activity, or audio/visual event detection) This position may involve access to export-controlled technology, hardware, or software under the Export Administration Regulations (EAR), 15 C.F.R. Parts 730-774 and possibly technical data, defense articles and defense services subject to the International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130. As such, Mercedes-Benz Research & Development North America may be required to obtain an export license or authorization in accordance with United States law. Why should you apply? Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate. ### Benefits for Full-Time* Employees Include - Medical, dental, and vision insurance for employees and their families - 401(k) with employer match - Up to 15 company-paid holidays - Paid time off (flexible time off for salaried employees), sick time, and parental leave - Tuition assistance program - Wellness/Fitness reimbursement programs * Internships & Contractors excluded from Full-Time Employee benefits MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes. Mercedes-Benz Research and Development North America, Inc. PRIVACY NOTICE FOR CALIFORNIA RESIDENTS [https://mbrdna.com/california-employee-privacy-notice/](https://mbrdna.com/california-employee-privacy-notice/) ## At a glance - Posted by the employer: Nov 4, 2026 - First seen by OpenNash: Nov 10, 2026 - Last checked: Nov 10, 2026 - Listed for: 6 days - Location: San Jose, US[Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/aiml-intern-long-term-memory-and-multimodal-slms-for-automotive-agents-245385-mer0004a7s) ## Hiring at Mercedes-Benz Group - Open jobs: 851 - New in the last 7 days: After two weekly collections - Tracked since: Oct 13, 2026 [All Mercedes-Benz Group jobs](https://jobs.opennash.com/companies/mercedes-benz-group/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Mercedes-Benz Group ### [Legal College Intern](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/2e5c0982030e01b99e72/) San Jose, US ### [Legal Extern](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/1e79fe7433fb987346b3/) San Jose, US ### [Active Safety Customer Function Owner 194173 Mer0003Wc2](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/fa26d6fa96ee0e5cd0ac/) ### [Architect 211146 Mer0004024](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/1646d68638fbd8339a52/) ### [Arzt in Weiterbildung zum Facharzt für Arbeitsmedizin (d/m/w/x)](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/feed875769848452022f/) Germersheim, DE ## Similar jobs at other companies ### [Research Intern - Interactive Multimodal Futures Group (Situated, Social & Ubiquitous Computing)](https://jobs.opennash.com/companies/microsoft/jobs/e0dc2a5469f2ccffb334/) Microsoft · United States, Washington, Redmond ### [Multimodal AI Researcher](https://jobs.opennash.com/companies/apple/jobs/250bb8490a47412ff8f2/) Apple · Sunnyvale, United States of America ### [Research Scientist Intern, Multimodal Learning for Robotics (PhD)](https://jobs.opennash.com/companies/meta-platforms/jobs/805d1383e530dd5cf42d/) Meta Platforms · Burlingame, CA ### [Hunyuan Multimodal Algorithm Researcher (Omni-Modal)​​](https://jobs.opennash.com/companies/tencent-holdings/jobs/b2de295f379b4e87fe62/) Tencent Holdings · Bellevue ### [AIML - Machine Learning Researcher - Multimodal Agent](https://jobs.opennash.com/companies/apple/jobs/f17219d4abb3eda15d54/) Apple · Seattle, United States of America OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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