• Advance Visual Perception: Build and fine‑tune models for detection, tracking, segmentation (2D/3D), pose & activity recognition, and scene understanding (incl. 360° and multi‑view). • Multimodal Reasoning with VLMs: Train/evaluate vision–language models (VLMs) for grounding, dense captioning, temporal QA, and tool use; design retrieval-augmented and agentic loops for perception-action tasks. • Physical AI & Embodiment: Prototype perception‑in‑the‑loop policies that close the gap from pixels to actions (simulation + real data). Integrate with planners and task graphs for manipulation, navigation, or safety workflows. • Data & Evaluation at Scale: Curate datasets, author high-signal evaluation protocols/KPIs, and run ablations that make results irreproducible impossible. • Systems & Deployment: Package research into reliable services on a modern stack (Kubernetes, Docker, Ray, FastAPI), with profiling, telemetry, and CI for reproducible science. • Agentic Workflows: Orchestrate multi-agent pipelines (e.g., ‑LangGraphstyle graphs) that combine perception, reasoning, simulation, and ‑code generation to ‑selfcheck and ‑selfcorrect.

About Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: - Business Insider named us an “enterprise startup to bet your career on” - Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world - Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America - Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional AI Researcher to join our growing AI team. In this role, you will design, build, deploy, and improve ML/LLM-powered services and features that power intelligent automation and AI-driven product experiences across the Workato platform. You will work closely with our Engineering, Product, and Design teams to define and track product metrics and evaluation strategies, design customer-facing experiments and dive deep to provide actionable insights.This role is ideal for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems. In this role, you will also be responsible to: - Build and improve AI services using LLMs and custom machine learning models for production use cases. - Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring. - Write high-quality Python code that is testable, maintainable, and efficient. - Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost). - Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities. - Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization. - Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights - Contribute to technical design and code reviews, helping raise engineering quality across the team. - Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes. Requirements Qualifications / Experience / Technical Skills - Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience - 3+ years of experience in Machine Learning Engineering, Data Science, or a similar role. - Strong Python programming skills. - Hands-on experience with NLP and/or LLM-based systems. - Experience deploying and operating ML services in production. - Strong understanding of software engineering fundamentals (testing, code quality, debugging, version control). - Ability to work collaboratively in a fast-moving environment and drive projects with ownership. Preferred Qualifications - Experience with tool-use agents or workflow-aware AI systems. - Experience building AI products in enterprise SaaS environments. - Experience with A/B testing and statistical significance techniques. - Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD). - Experience working with modern data warehouses such as Amazon Redshift Snowflake. (REQ ID: 2706)

The Research Scientist will play a key leadership and scientific role within the sponsoring research program, contributing to the design, execution, and dissemination of innovative research at the intersection of artificial intelligence, health communication, and digital health equity. This individual will significantly contribute to grant writing and serve as co-investigator or co-principal investigator on extramural grant applications led by the principal investigator, with opportunities to serve as principal investigator on collaborative projects. The Research Scientist is expected to develop and lead a focused research portfolio leveraging emerging technologies, including artificial intelligence, natural language processing, and social network analysis, to advance health communication, reduce misinformation, and address health disparities across diverse populations. The role includes leading research on digital health interventions such as AI-driven communication tools, chatbots, behavior ontologies, and virtual agents, studying the diffusion of health information and misinformation across media ecosystems, and advancing ethical and equitable applications of AI in healthcare. The individual will serve as a key internal and external representative of the research program, collaborating across multidisciplinary teams including clinicians, data scientists, and informaticians. They may represent the principal investigator at national or international meetings and contribute to strategic partnerships with academic, industry, and public health stakeholders. The Research Scientist will lead and manage independent and collaborative research projects in AI-enabled health communication and digital health, contribute to programmatic development in areas such as virtual trials, AI-driven patient engagement, and health equity research, mentor trainees and junior investigators, provide intellectual leadership in study design and methodology, and support teaching and training activities aligned with the investigator’s program. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

• Conduct fundamental LLM research using our SOTA story engine. • Create a benchmark for evaluating LLM behavior by defining tasks, success criteria, and auxiliary metrics within our story engine. • Deliver a benchmark library for performing evaluations on SOTA LLMs and a written report of your compiled results for posting to our blog and potential publication.