UX Engineer Intern (On-Device Computer Vision)

📍 Job Overview

Job Title: UX Engineer Intern (On-Device Computer Vision)

Company: Captur

Location: London, United Kingdom

Job Type: Temporary / Intern

Category: UX Engineering / Computer Vision

Date Posted: May 07, 2026

Experience Level: Internship (0-2 years)

Remote Status: Hybrid

🚀 Role Summary

• Design and implement real-time user feedback systems for on-device computer vision camera flows, focusing on user experience in dynamic environments.

• Integrate visual, haptic, and symbolic feedback channels to enhance user interaction and guide actions within a <300ms latency window.

• Develop generalized feedback mechanisms that adapt across diverse use cases and client-specific scenarios, avoiding per-client tuning.

• Take end-to-end ownership of a project, from initial scoping and prototyping through to shipping and measuring its impact, with dedicated mentorship.

📝 Enhancement Note: This role is specifically tailored for an internship, emphasizing hands-on project ownership and mentorship. The core challenge lies in translating probabilistic, noisy on-device computer vision model outputs into actionable, low-latency user feedback across multiple sensory channels (visual, haptic, symbolic). The target is to create a generalized system rather than client-specific solutions, requiring a strong blend of UX design principles and technical implementation skills.

📈 Primary Responsibilities

• Design and prototype real-time feedback loops for on-device computer vision applications, ensuring rapid response to model outputs.

• Develop and integrate multi-modal feedback systems, including visual cues, haptic responses, and symbolic indicators, optimizing for clarity and user comprehension.

• Conduct user research and testing to validate feedback mechanisms and iterate on designs based on user interaction patterns and environmental conditions.

• Collaborate with mentors and engineers to define project scope, set measurable goals, and execute on a defined project timeline for the internship duration.

• Implement and measure the effectiveness of feedback systems, analyzing user behavior and system performance to identify areas for improvement and generalization.

📝 Enhancement Note: The responsibilities highlight a strong focus on user-centric design within a technically complex domain. The emphasis on "real-time feedback," "parallel feedback channels," and "generalising across scenes" points to a need for innovative solutions that balance technical constraints with intuitive user experiences. End-to-end ownership for a scoped project is a key differentiator for this internship.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, coursework or demonstrable experience in Computer Science, Human-Computer Interaction (HCI), Interaction Design, or related fields is expected.

Experience: Prior programming experience is required, with a focus on mobile development or real-time systems. Experience in interaction design, motion design, or HCI, demonstrated through coursework, projects, or self-study, is also essential.

Required Skills:

• Proficiency in at least one programming language such as Javascript (React Native, Typescript), Swift, Kotlin, or Python.

• Demonstrated experience in interaction design, motion design, or Human-Computer Interaction (HCI) through coursework, personal projects, or self-directed learning.

Preferred Skills:

• Coursework or project experience in computer vision, machine learning (ML), or signal processing.

• Front-end development skills, particularly TypeScript/React, for internal debugging tools and visualizations.

• Familiarity with prototyping tools such as Figma, Origami, ProtoPie, or experience with hand-rolled HTML/SwiftUI for prototyping.

• Experience with game UI design, aviation HUD design, accessibility interfaces, or multi-modal interface design.

• Exposure to user research methodologies like think-aloud protocols or contextual inquiry.

📝 Enhancement Note: The qualifications emphasize a blend of programming and design skills. The "Required" section focuses on foundational programming and design experience, with a specific request for a portfolio example. The "Useful" section indicates areas that would significantly strengthen an application, particularly those related to computer vision, ML, and advanced UX/HCI concepts, suggesting the company values candidates with interdisciplinary interests.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A demonstrable example of interaction design, motion design, or HCI work is mandatory for application. This should showcase your approach to designing user experiences, particularly in response to dynamic or complex input.

• Projects demonstrating the ability to translate probabilistic or noisy data into clear user actions or feedback.

• Examples of creating functional prototypes using tools like Figma, ProtoPie, or hand-rolled code (HTML, SwiftUI) to test design concepts.

Process Documentation:

• For your scoped project, be prepared to articulate your process for scoping, prototyping, shipping, and measuring its impact.

• Detail how you approached generalizing feedback mechanisms across different scenes or use cases, rather than tailoring them specifically.

• Explain your methodology for integrating and prioritizing visual, haptic, and symbolic feedback channels.

• Outline your approach to user research and testing to validate your designs and gather feedback for iteration.

📝 Enhancement Note: The portfolio requirements are critical for this role, serving as the primary evidence of a candidate's design and problem-solving capabilities. The emphasis is on demonstrating practical application of design principles in a technically challenging context, especially concerning real-time feedback and multi-modal interfaces. Candidates should prepare to discuss their end-to-end project ownership process.

💵 Compensation & Benefits

Salary Range: Based on the provided information, the intern salary is £35,000 per annum, pro-rated for the internship duration.

Benefits:

• Pro-rata Salary: £35,000 per annum, calculated for the internship period.

• Housing Stipend: A taxable housing stipend of £125 per week for interns requiring accommodation outside of London.

• Paid Holiday: 25 days of annual leave, pro-rated for the internship duration, plus public holidays.

• Work Equipment: A dedicated company Macbook Pro provided for use during the internship.

• Mentorship: Dedicated 1:1 mentorship throughout the internship.

Working Hours: The standard working hours are estimated at 40 hours per week, with a hybrid work arrangement requiring 3 days per week in the London office.

📝 Enhancement Note: The salary is competitive for a London-based internship, and the additional housing stipend is a significant benefit for non-local candidates. The pro-rata system for salary and holiday ensures fair compensation regardless of the exact internship length within the 8-12 week window. The provision of a company Macbook Pro and dedicated mentorship adds significant value.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software Development, specifically focusing on on-device computer vision and real-time user interfaces. Captur operates within the intersection of mobile technology, AI, and user experience design.

Company Size: While not explicitly stated, the nature of providing internships and having a dedicated office suggests a growing startup or a well-established tech company with a focused R&D or product team. Internships are common in companies looking to foster talent and bring in fresh perspectives.

Founded: Information on the founding date is not provided. However, the focus on advanced technologies like on-device computer vision and real-time feedback implies a modern, forward-thinking company.

Team Structure:

• The internship will be within a team focused on the camera flow and user experience of Captur's clients' mobile applications.

• You will likely work closely with a dedicated 1:1 mentor, who will guide your project.

• Collaboration will extend to engineers and potentially product managers involved in the on-device computer vision SDK and its integration into client apps.

Methodology:

• Data-Driven Design: Emphasis on using probabilistic model outputs and user research to inform design decisions.

• Agile Development: Likely employs agile methodologies for project scoping, execution, and iteration, especially given the short internship timeframe.

• User-Centricity: A strong focus on the user's perception and interaction with the camera stream, aiming for intuitive and effective feedback mechanisms.

• End-to-End Ownership: Fostering a culture where individuals take full responsibility for their projects from conception to completion and measurement.

Company Website: [Company URL - please refer to the input data for the exact URL if available, otherwise note as not provided]

📝 Enhancement Note: Captur appears to be a technology company specializing in advanced mobile camera functionalities, likely providing SDKs or solutions to other businesses. The culture seems to value innovation, hands-on project execution, and mentorship, particularly for interns. The hybrid work model indicates a balance between in-person collaboration and remote flexibility.

📈 Career & Growth Analysis

Operations Career Level: This is an internship position, typically for individuals early in their career (0-2 years of experience). It's designed as a learning and development opportunity, providing practical experience in a specialized field.

Reporting Structure: Interns will report to a dedicated 1:1 mentor who provides guidance and oversees project progress. They will also be part of a broader engineering or product team, interacting with other team members and stakeholders as needed for their project.

Operations Impact: While an intern's direct impact may be limited to their specific project, the work contributes to the development and refinement of Captur's core technology. Successful projects can lead to tangible improvements in client applications, enhancing user experience and potentially driving adoption of Captur's solutions. The focus on real-time feedback and computer vision positions this role at the forefront of mobile user interaction innovation.

Growth Opportunities:

• Skill Development: Deepen expertise in UX engineering, on-device computer vision, real-time feedback systems, and mobile development (React Native, Swift, Kotlin).

• Project Ownership: Gain invaluable experience in managing a project from start to finish, including scoping, prototyping, development, and evaluation.

• Mentorship: Benefit from direct guidance from experienced professionals, accelerating learning and career insights.

• Industry Exposure: Experience working in a fast-paced tech environment, understanding product development cycles and client collaboration.

• Potential for Future Opportunities: Successful internships can often lead to full-time offers or strong network connections within the tech industry, particularly in specialized fields like computer vision and UX.

📝 Enhancement Note: This internship is positioned as a significant growth opportunity for aspiring UX engineers or computer vision specialists. The end-to-end project ownership and dedicated mentorship are key elements for skill development. The role offers exposure to cutting-edge technology and a practical understanding of how UX principles are applied in complex AI-driven mobile applications.

🌐 Work Environment

Office Type: Hybrid work environment, with a requirement to be in the office 3 days per week. This suggests a modern office setup designed for collaboration, with dedicated workspaces and meeting areas.

Office Location(s): The office is located in London, specifically near Liverpool Street. This is a central business district, offering good transport links and access to amenities.

Workspace Context:

• Collaborative Spaces: The 3-day office presence indicates opportunities for in-person collaboration, team meetings, and knowledge sharing sessions with colleagues.

• Tools & Technology: Interns will be provided with a dedicated company Macbook Pro, ensuring they have the necessary hardware for their development and design tasks. Access to internal tools and debug environments for computer vision and feedback systems is likely.

• Team Interaction: Opportunities to interact with a dedicated mentor and other team members, fostering a supportive learning environment.

Work Schedule: The internship is structured for 8-12 weeks, with a standard 40-hour work week. The hybrid model allows for flexibility, with remote workdays complementing in-office collaboration days.

📝 Enhancement Note: The hybrid model in a prime London location offers a balance of structured work and flexibility. The provision of a dedicated Macbook Pro and the emphasis on collaborative in-office days suggest a well-supported and interactive work environment conducive to learning and project execution.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Application Review: Screening of resumes and cover letters, with particular attention to the required example of interaction design, motion design, or HCI work.

• Technical/Design Screen: Possibly a call with a recruiter or hiring manager to assess foundational skills, cultural fit, and understanding of the role's core concepts.

• Project Scoping & Discussion: An interview focused on discussing potential internship projects, assessing your ability to scope a project, and understanding your thought process for real-time feedback and multi-modal interfaces.

• Technical/Design Challenge: A practical exercise or case study, potentially involving designing a feedback mechanism for a specific scenario or reviewing existing designs. This might involve prototyping or presenting design rationale.

• Final Interview: A discussion with team members or senior leadership to finalize the decision, focusing on your potential contribution, eagerness to learn, and alignment with the company culture.

Portfolio Review Tips:

• Highlight Relevance: Clearly showcase the interaction design, motion design, or HCI example required. Ensure it demonstrates your problem-solving approach and understanding of user feedback.

• Emphasize Process: For your scoped project, be prepared to walk through your end-to-end process: how you defined the problem, brainstormed solutions, prototyped, tested, and measured results.

• Showcase Multi-modal Thinking: If possible, include examples that demonstrate consideration for visual, haptic, or symbolic feedback, and how you balanced these channels.

• Quantify Impact: Where possible, use metrics or qualitative feedback to demonstrate the effectiveness of your designs, especially concerning speed, clarity, or usability.

• Tailor to Captur: Research Captur's work and tailor your presentation to highlight how your skills and experiences align with their focus on on-device computer vision and real-time camera flows.

Challenge Preparation:

• Understand the Core Problem: Familiarize yourself with the challenges of on-device computer vision and real-time feedback in dynamic environments (rain, gloves, one-handed use).

• Think Multi-modally: Practice designing feedback solutions that go beyond just visual cues. Consider how haptics or symbolic icons could be used effectively.

• Focus on Latency and Generalization: Be ready to discuss how to design systems that are both fast (<300ms) and can adapt to various scenarios without constant re-tuning.

• Prepare Project Ideas: Have a few well-thought-out project ideas related to the role's responsibilities that you could potentially own during the internship.

📝 Enhancement Note: The application process emphasizes practical skills and the ability to articulate one's design process. A strong portfolio, specifically showcasing the required design example, is paramount. Candidates should be prepared for in-depth discussions about their project approach and their understanding of the unique challenges in real-time, on-device computer vision UX.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Javascript (React Native, Typescript), Swift, Kotlin, Python.

• Mobile Development Frameworks: React Native (for internal tools), Swift (iOS native), Kotlin (Android native).

• Prototyping Tools: Figma, Origami, ProtoPie, or custom HTML/SwiftUI implementations for rapid prototyping.

Analytics & Reporting:

• Internal tools and dashboards for measuring the performance of real-time feedback systems and user interactions.

CRM & Automation:

Computer Vision & ML:

• Exposure to on-device computer vision models and potentially ML frameworks used for their deployment.

• Signal processing techniques may be relevant for interpreting model outputs.

📝 Enhancement Note: The technology stack reflects a modern mobile development environment with a strong emphasis on cross-platform capabilities (React Native) alongside native iOS (Swift) and Android (Kotlin) development. Proficiency in these languages and experience with prototyping tools are key. Familiarity with computer vision and ML concepts is a significant advantage, indicating the technical depth of the projects.

👥 Team Culture & Values

Operations Values:

• Innovation & Problem-Solving: A drive to tackle complex technical challenges in computer vision and UX, finding novel solutions for real-time feedback.

• User-Centricity: A deep commitment to understanding and improving the user experience, especially in challenging real-world conditions.

• Ownership & Accountability: Expectation that individuals take full responsibility for their projects, from conception to delivery and measurement.

• Collaboration & Mentorship: A supportive environment where knowledge is shared, and learning is facilitated through dedicated mentorship and team interaction.

• Efficiency & Performance: Focus on creating systems that are not only functional but also highly performant, with low latency and generalized applicability.

Collaboration Style:

• Hybrid Collaboration: A blend of in-person interaction (3 days/week) for brainstorming, feedback sessions, and team building, alongside remote work for focused individual tasks.

• Cross-functional Integration: Likely involves close collaboration between UX engineers, core computer vision/ML engineers, and potentially product managers to ensure the feedback systems are technically feasible and strategically aligned.

• Feedback-Driven Iteration: A culture that encourages constructive feedback on designs and code to continuously improve project outcomes.

📝 Enhancement Note: The team culture appears to foster a proactive and collaborative environment, valuing both individual initiative and collective problem-solving. The emphasis on innovation, user focus, and ownership suggests a dynamic startup-like atmosphere within a growth-oriented company.

⚡ Challenges & Growth Opportunities

Challenges:

• Real-time Feedback Design: Developing intuitive and effective feedback mechanisms that operate under strict latency constraints (<300ms) and in varied environmental conditions (e.g., rain, low light, user distraction).

• Generalization vs. Specialization: Creating a feedback system that works effectively across diverse client use cases and scenes without requiring extensive per-client customization.

• Multi-modal Integration: Balancing the use of visual, haptic, and symbolic feedback channels, determining optimal content, timing, and prioritization.

• Translating Probabilistic Data: Effectively communicating the nuances and uncertainty of on-device computer vision model outputs to the user in a clear and actionable manner.

Learning & Development Opportunities:

• Specialized Skill Enhancement: Gain deep practical experience in UX engineering for computer vision applications, a niche and high-demand field.

• End-to-End Project Lifecycle: Learn to manage a project from ideation through to deployment and analysis, a critical skill for future career growth.

• Cross-disciplinary Exposure: Understand the interplay between AI/ML, software engineering, and user experience design.

• Industry Best Practices: Learn from experienced mentors and colleagues about best practices in mobile development, real-time systems, and user-centric design.

• Networking: Build connections within a growing tech company, potentially opening doors for future career opportunities.

📝 Enhancement Note: The challenges presented are highly specific to the role's domain, offering significant learning opportunities. The growth potential lies in acquiring specialized skills and practical experience in a cutting-edge area of technology, making this internship a strong stepping stone for a career in UX engineering or applied AI.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a user interface for a system with noisy or probabilistic output. How did you approach communicating uncertainty to the user?" (Focus on your design process, handling ambiguity, and user communication strategies.)

• "Imagine you're designing feedback for a user capturing a license plate in low light. What visual, haptic, or symbolic cues would you use, and how would you prioritize them if multiple issues arise simultaneously?" (Prepare to think multi-modally and consider trade-offs in feedback channels and prioritization.)

Company & Culture Questions:

• "What interests you about Captur's work in on-device computer vision and real-time camera feedback?" (Research Captur's mission, technology, and client applications. Express genuine curiosity.)

• "How do you envision yourself contributing to a hybrid work environment and collaborating with a dedicated mentor on a scoped project?" (Discuss your preferred working style, how you handle feedback, and your approach to project ownership.)

Portfolio Presentation Strategy:

• Structure Your Example: Clearly present the required interaction/HCI/motion design example. Start with the problem, your proposed solution, the design process, and the outcome/learnings.

• Demonstrate Process: For your potential project idea, outline your thought process for scoping, prototyping, and measuring success. Emphasize how you'd ensure generalization and handle real-time constraints.

• Visual Aids: Use mockups, wireframes, or simple prototypes to illustrate your design concepts. If you have any work with haptic or symbolic feedback, highlight it.

• Be Ready for Technical Questions: Be prepared to discuss the programming languages and tools you're familiar with, and how they might apply to building these systems.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of UX principles within a technical context, specifically for real-time, on-device computer vision. Candidates need to showcase their design process, ability to handle ambiguity, and innovative thinking regarding multi-modal feedback. The portfolio example is crucial for passing the initial screening.

📌 Application Steps

To apply for this UX Engineer Intern position:

• Submit your application through the provided link on rippling.com.

• Customize Your Resume: Highlight relevant programming experience (Javascript, Swift, Kotlin, Python), any coursework or projects in HCI, interaction design, motion design, computer vision, or ML. Explicitly mention any experience with prototyping tools like Figma or ProtoPie.

• Prepare Your Design Example: Ensure the single example of interaction design, motion design, or HCI work is readily available and polished. This is a critical requirement for your application.

• Research Captur: Understand Captur's core technology, their focus on on-device computer vision, and the challenges of real-time feedback in mobile applications. This will help you tailor your application and prepare for interviews.

• Practice Your Pitch: Be ready to articulate your interest in the role, your relevant skills, and potential project ideas. Practice presenting your design example and discussing your design process clearly and concisely.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.