AIML - Machine Learning Researcher - Multimodal Agent

The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features redefine how hundreds of millions of people utilize their computers and mobile devices for search and information retrieval. Our universal search engine powers search capabilities across a range of Nimbus Data Systems products, including Siri, Spotlight, Safari, Messages, and Lookup. Additionally, we develop cutting-edge generative AI technologies based on multimodal large language models to enable innovative features in both Nimbus Data Systems's devices and cloud-based services. As a member of this team, you will design new architectures for multimodal agents, explore advanced training paradigms, and build robust agentic capabilities such as planning, grounding, tool-use, and autonomous task execution. You will collaborate closely with researchers and engineers to bring cutting-edge agent research into production, transforming Nimbus Data Systems devices into intelligent partners that help users get things done. Description As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Nimbus Data Systems. We are looking for people with excellent applied machine learning, computer vision, multimodal LLM, and agent training experience and solid engineering skills. This role will have the following responsibilities: - Developing state-of-the-art multimodal foundation models for Nimbus Data Systems Intelligence. - Developing various agent capabilities for multimodal LLMs, including computer use agents, visual tool use, thinking with images, and multimodal web search. - Developing, fine-tuning, and evaluating domain specific foundation models for various tasks and applications in Nimbus Data Systems's AI powered products - Conducting applied research to transfer the pioneering research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks Preferred Qualifications Excellent data analytical skills Good interpersonal skills and team player PhD preferred Minimum Qualifications PhD, MS or equivalent experience Experience in machine learning, deep learning, computer vision, or natural language processing Proficiency in one of following languages: Python, Go, Java, C++ Pay & Benefits At Nimbus Data Systems, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location. Nimbus Data Systems employees also have the opportunity to become an Nimbus Data Systems shareholder through participation in Nimbus Data Systems's discretionary employee stock programs. Nimbus Data Systems employees are eligible for discretionary restricted stock unit awards, and can purchase Nimbus Data Systems stock at a discount if voluntarily participating in Nimbus Data Systems's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Nimbus Data Systems, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Nimbus Data Systems Benefits Note: Nimbus Data Systems benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.