Role Description UP.Labs is seeking a Sr. AI/ML Engineer to help build applied AI systems across computer vision, LLM-powered workflows, intelligent automation, and production AI infrastructure. This role is best suited for someone who is comfortable operating in early-stage, ambiguous environments. - You’ll work on AI-driven applications involving image detection, object recognition, intelligent automation, and LLM-powered workflows. - One key product area involves using computer vision models to identify industrial objects, human interactions, defects, and operational patterns in manufacturing environments. - You’ll also build LLM-based capabilities using modern orchestration frameworks, retrieval systems, tool-calling patterns, and agentic workflows. - The work will often involve incomplete data, evolving requirements, and open-ended technical decisions. - This is a highly collaborative role, but not a heavily prescribed one. - You’ll be expected to bring technical judgment, ownership, and initiative to ambiguous problems. What You’ll Do - Design, train, evaluate, and deploy machine learning models for real-world applications. - Build and improve computer vision pipelines for object detection, classification, and image understanding. - Build LLM-powered features, agentic workflows, retrieval systems, and internal AI tools. - Work with image data, structured data, unstructured documents, embeddings, vector databases, and tool-calling workflows. - Translate ambiguous business and operational problems into practical AI/ML solutions. - Build data pipelines, inference services, evaluation workflows, and production-ready AI systems. - Evaluate model and agent performance, identify failure modes, and improve reliability over time. - Collaborate with product, engineering, venture, and stakeholder teams to validate concepts and ship working products. - Operate with autonomy in a fast-moving venture environment where priorities, requirements, and available data may evolve quickly. Qualifications - Strong Python engineering skills and experience building production-oriented AI/ML systems. - Hands-on experience with machine learning fundamentals, model evaluation, training workflows, and data processing pipelines. - Experience building or deploying computer vision systems such as image detection, classification, object recognition, or related workflows. - Experience working with modern LLMs, Generative AI tools, and AI-assisted development workflows. - Hands-on experience building agentic AI workflows, multi-step LLM systems, tool-calling systems, or AI automation workflows. - Experience building RAG, retrieval, or knowledge systems using embeddings, vector databases, document stores, structured data, or graph-based approaches. - Experience deploying AI/ML systems into production environments, including inference services, monitoring, evaluation, and deployment workflows. - Experience with cloud environments such as AWS, Azure, or GCP. - Strong ownership mindset with the ability to operate without fully defined requirements, proactively identify next steps, and communicate tradeoffs clearly. - Strong communication skills and ability to collaborate across technical and non-technical teams. Nice to Have - Experience with industrial, manufacturing, robotics, logistics, or operational data environments. - Familiarity with edge deployment, camera systems, IoT data, sensor data, or real-time inference workflows. - Experience with tools such as LangGraph, PydanticAI, LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, FAISS, pgvector, Neo4j, or similar. - Experience working in startups, venture studios, or early-stage product environments. - Experience building AI-powered internal tools, developer workflows, or automation systems beyond core product work. Company Description UP.Labs builds high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. We partner with leading corporations and entrepreneurs to identify major industry opportunities, validate new venture concepts, and launch software and hardware companies from the ground up. Our team works at the earliest stage of company creation, where ideas are still forming, requirements are evolving, and technical validation is critical. We take ventures from concept through MVP and help recruit the full-time team that will scale the business. This environment requires people who are comfortable operating with ambiguity, making pragmatic technical decisions, and helping turn early product concepts into real, working systems. Location: Remote

• Develop and maintain core School of Splunk Field Sales Enablement portfolio • Design and deliver AI-focused onboarding and upskilling curricula • Integrate critical technical sales skills into curriculum for learners to develop mastery • Compose test questions, evaluations, and assessments that validate proficiency • Develop and continuously refresh learning content that reflects the messaging and positioning related to Splunk platform • Work with key stakeholders to develop technical seller training programs • Serve as a trusted advisor to technical sales stakeholders and SMEs • Update and optimize existing GFE training assets to reflect Cisco's current strategic direction

Role Description We're looking for a Creative AI Designer who can edit videos, create motion graphics, and produce graphic design assets, and who is curious about AI creative tools and open to learning and integrating them into their workflow. The core skills are video editing, motion design, and graphic design. Experience with AI creative tools is a plus but not required. We care most about your core creative skills and your willingness to learn. If you have solid creative fundamentals, are comfortable experimenting with AI video generation and tools like Claude, and want to work at the cutting edge of where creative production is heading, this role is a strong fit. Qualifications - Proven experience in video editing using Premiere Pro, CapCut, or similar tools - Motion graphics experience using After Effects or comparable tools - Graphic design proficiency using Canva, Photoshop, Adobe Creative Suite, or similar - Strong eye for aesthetics, pacing, and what makes content perform across platforms - Curiosity and openness toward AI creative tools including video generation platforms and Claude - Ability to manage multiple creative projects simultaneously and deliver without being chased - Self-directed with a bias toward shipping and iterating rather than over-polishing Requirements - Video Editing and Post-Production - Edit video content across formats including short-form, long-form, social, and promotional - Apply color grading, sound design, pacing, and visual storytelling to elevate raw footage - Deliver polished, export-ready video assets optimized for each platform and use case - Motion Graphics and Animation - Design and animate motion graphics for video intros, lower thirds, transitions, and branded content - Create engaging visual sequences that complement and enhance video narratives - Build reusable motion templates and components that speed up production across projects - Graphic Design - Produce static design assets including thumbnails, social graphics, banners, and branded materials - Maintain visual consistency across deliverables with strong typographic and layout discipline - Support campaigns and content initiatives with design work that is fast and on-brand - AI Video Generation and Integration - Generate AI video content using platforms such as Seedance AI, Higgsfield AI, or comparable tools - Prompt, iterate, and refine AI-generated footage until it meets production quality standards - Integrate AI-generated content seamlessly into edited video projects without it looking jarring or low-effort - Stay current on emerging AI video tools and bring recommendations for new platforms and workflows - Claude and AI-Assisted Creative Workflow - Use Claude for scripting, creative briefs, concept development, and production planning - Leverage AI tools across the full creative workflow to increase output speed and quality - Experiment with new AI-assisted techniques and document what works for the broader team Benefits - You will be paid in USD (bi-monthly: every 15th and 30th) - Paid Time Off in accordance with company policy - Observance of Holidays per company guidelines - 100% remote setup so you can work wherever you're most productive - Creative ownership over AI-forward content production from concept through delivery - Work at the cutting edge of AI video and creative tooling before it becomes mainstream How to Apply Please include: - Your updated resume - A portfolio link showing examples of video editing, motion graphics, graphic design, and any AI-generated video work you have produced - A short Loom video (1 to 2 minutes) introducing yourself, walking through one piece of work you are proud of, and describing how you use AI video tools and Claude in your creative workflow Only candidates who submit both a portfolio and Loom video will be moved to the next step of the hiring process. Application Process Overview Our comprehensive selection process ensures we find the right fit for both you and our clients: - Initial Application - Submit your application and complete our prequalifying questions - Video Introduction - Record a video introduction to showcase your communication skills and work experience - Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable) - Recruitment Interview - Initial screening with our talent team - Executive Interview - Meet with senior leadership to discuss role alignment - Client Interview - Final interview with the client team you'd be supporting - Background & Reference Check - Professional reference verification - Job Offer - Successful candidates receive a formal offer to join the team Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.

• Advising and supporting customers through digital transformations • Deploying and optimizing AI-driven Digital Workers across recruitment workflows • Designing and guiding scalable, transformational workflow architectures • Delivering advanced reporting and dashboards to measure performance, adoption, and business outcomes • Consulting with customers on process and technology changes • Acting as an expert and trusted advisor on AI, automation, and analytics-driven transformation • Leading end-to-end delivery of Automation, Amplify, and Analytics implementation projects • Deploying Digital Workers through Amplify to execute AI-driven activities • Configuring and delivering Bullhorn Analytics solutions • Providing technical feasibility assessments for configuration requests