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Research Assistant (Audio) Contract: 12 months (extension possible) Working Pattern: 5 days onsite, 40 hours per week Location: Cambridge About the Role An exciting opportunity for a Research Assistant to join a global technology team working on next-generation audio and smart device projects. The role focuses on data collection, experiment coordination, and metadata management within a high-tech research environment. You’ll collaborate with engineers, project coordinators, and study participants to ensure smooth execution of experiments and accurate data recording. Key Responsibilities • Support and coordinate data collection sessions, • Assist participants through the study process, • Record, organize, and validate metadata accurately, • Manage schedules and assist with lab logistics, • Take ownership of simple technical setups and experiments Required Skills & Experience • Bachelor’s degree in a relevant field (e.g., science, psychology, humanities), • 2–4 years’ experience in research or data collection, • Excellent organization and attention to detail, • Strong communication and interpersonal skills Preferred: • Basic programming skills (e.g., Python or R), • Interest or experience in audio, sound, or music, • Experience working with participants or experimental setups Why This Role • Be part of a high-performing global research team, • Work on innovative projects shaping future technologies, • Gain experience with advanced equipment and real-world studies

R&D Engineer - Camera Algorithm / Computer Vision | Cambridge | Telecommunications In this role, you will develop, optimize, and deploy advanced imaging algorithms for camera systems, contributing to high-performance, real-world applications. You will collaborate with cross-functional teams, including hardware engineers, software developers, and product managers, to design solutions that push the boundaries of camera technology and image quality. Key Responsibilities: • Design, develop, and optimize algorithms for camera image processing, calibration, and quality assessment., • Implement machine learning and deep learning models for tasks such as denoising, segmentation, HDR imaging, and artifact detection., • Collaborate with hardware and software teams to integrate algorithms into camera systems and embedded platforms., • Conduct testing and validation of algorithms across multiple devices and imaging conditions., • Develop tools and pipelines for automated image quality evaluation and performance monitoring. Required Skills & Experience: • Proven experience in camera algorithms, image processing, or computer vision., • Strong programming skills in Python, C++, and MATLAB., • Experience with machine learning / deep learning frameworks such as PyTorch or TensorFlow., • Knowledge of imaging sensors, optics, and camera systems., • Hands-on experience with image quality assessment, segmentation, or calibration algorithms. Preferred Qualifications: • MSc or PhD in Computer Science, Electrical Engineering, Applied Physics, or a related field., • Experience with HDR imaging, stereo imaging, or multispectral cameras., • Familiarity with Git, CI/CD, and experiment tracking tools. Apply Directly or Reach Out:

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning sound into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models that run efficiently on constrained devices, working closely with the CTO on design, optimisation, and deployment. This is a hands-on technical role that offers full exposure to the early-stage startup experience — from prototyping and experimentation to strategic product decisions. Key Responsibilities • Develop, optimise, and deploy machine learning models for on-device health monitoring., • Experiment with architectures and apply techniques such as quantisation, pruning, and compression to improve efficiency., • Collaborate with cross-functional teams to take research prototypes into production-ready systems., • Contribute to broader technical and product discussions, including data collection, validation, and feature development., • Take ownership of projects, working autonomously while supporting the wider engineering team. What We’re Looking For • Ph.D. or Master’s degree in Computer Science, Machine Learning, Information or Biomedical Engineering (or similar)., • Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development., • Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM., • Solid understanding of model optimisation for constrained hardware environments., • Ability to write clean, maintainable, and well-tested code in a collaborative setting., • Curiosity, adaptability, and enthusiasm for working in a fast-paced, early-stage environment., • Experience working with time-series data such as audio or biosignals., • Background in biomedical or signal processing., • Experience writing production-level code or integrating models with embedded systems., • Previous startup experience or exposure to medical device development.

Exciting opportunity to work with a Big4 Tech Company as a Research Assistant, based in Cambridge, UK! Research Assistant Contract duration: 12 month contract Location: Cambridge (5 days onsite) Responsibilities: • Support the execution of data collection activities in a data collection facility., • Work closely with Audio Engineers during data collection campaigns, handling participant-facing aspects., • Assist internal and external participants, ensuring they understand the process, their role, and any required tasks., • Accurately record and maintain metadata, with particular attention to detail and consistency., • Liaise with Project Coordinators and other stakeholders to ensure smooth day-to-day operations such as assisting with scheduling and organisation of both internal and external participants., • Perform data validation of collected data., • Provide input into planning activities and experiment protocol design., • Assume responsibility for running some data collections (e.g. subjective experiments requiring simple technical setups). Minimum requirements: • Bachelor’s degree (or equivalent work experience), ideally in a relevant field., • Experience working in a research environment and collecting various types of data., • Strong organisational skills and meticulous attention to detail, particularly in recording and managing metadata., • Excellent interpersonal and communication skills, with the ability to work confidently with participants and colleagues., • Working knowledge of Microsoft Excel (or similar spreadsheet software)., • Ability to work on site 5 days a week. Preferred experience: • Programming experience (e.g. Python or R) would be an advantage., • Understanding of audio, whether through academic study or practical experience (such as playing a musical instrument).