AI Agent Researcher

At MultiOn, we are looking for a few more A+ players who want to join a rocket ship startup.About Us:We believe in the power of Artificial Intelligence to revolutionize the way we interact with computers and the digital world. We're not just building a state-of-the-art personal AI Agent that brings the concept of JARVIS from science fiction into reality; we're also reshaping the future of software. Our mission is to pioneer Software 3.0, where software doesn't just respond to user commands, but also acts on your behalf.We hold the record for the first AI flight booking, food order & workplace certification and believe this to be just the beginning. We're a team of passionate innovators, technologists, and dreamers, and we are looking for extraordinarily folks to join us on this exciting journey.We're funded by leading investors at General Catalyst, Amazon, Samsung along with Reid Hoffmann, Jeff Dean, and select angels from OpenAI and Google DeepMind. We're fortunate to have the support of many amazing advisors, including the world's foremost experts in AI.About You:We are in search of an AI Researcher specializing in the advancement of AI through innovative approaches to local models and LLMs.This position is tailor-made for an individual with a proven track record in pioneering large-scale model techniques, reinforcement learning, and the creation of autonomous systems. The ideal candidate is dedicated to not only propelling the field forward with novel research but also ensuring these technologies are applied effectively and responsibly.Responsibilities:Lead cutting-edge research in AI & Agents, focusing on breakthroughs in long-term memory, reliability, planning, reasoning, and embodied AI, and transition these innovations into production and running models on device.Spearhead and implement the latest research ideas and ship them to production, focusing on on-device LLMs & fast model inference to enhance AI agent capabilities and account for user privacy & security.Collaborate with our product and engineering teams to transform research insights into practical, impactful solutions.Stay abreast of the latest advancements in AI, especially around local models, LLMs, fine-tuning techniques, and inference and optimization.Employ rigorous testing and iterative improvement processes to optimize enhance the model performance and reliability.Deliver high-quality work at a fast pace, understanding the importance of time and speed in a startup environment.Qualifications:Minimum of 5 years of hands-on experience in machine learning model development, with expertise in PyTorch, JAX or TensorFlow.Demonstrated capability to independently lead research projects with end-to-end responsibility.Previous experience in AI research is required. This likely involves a history of publishing research at top conferences.Deep understanding of systems engineering with a focus on building scalable solutions for large-scale data processing and model training.Solid understanding and experience working with large Transformer models, such as GPT or LlaMA.Expertise in fine-tuning, reinforcement learning, and prompt-engineering techniques.Experience in working with multimodal or vision models.Ability to communicate complex research findings in a clear and impactful manner.A knack for solving problems creatively and effectively.Why Join Us:Be part of a fast-paced, ambitious startup that is pushing the boundaries of AI technology and reshaping the future of software.Work on groundbreaking technology with real-world impact.Collaborate with a diverse, talented team of AI experts, engineers, and designers.Opportunity to grow and advance your career in the burgeoning field of AI and software engineering.Competitive salary, benefits, and equity options.How to Apply:

Share your story, your passion, and why you'd be the perfect fit for our team. Send us a resume and a brief description of your favorite project and why to

hiring@multion.aiMultiOn Inc. is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Note: Due to the high volume of applications we receive, we can only respond to applicants who have been selected for an interview.

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