The Role:
You are an experienced software engineer with strong background in either machine learning, computer vision or data science, operating within an agile, cross-functional team. You will drive the development of complex intelligent features, ensuring Dyson continues to deliver innovative products that delight our customers.
Working collaboratively with machine learning specialists, data operations, UX/UI designers, and various software engineers across embedded, cloud and app, you will tackle diverse engineering challenges presented by Dyson’s expanding portfolio of intelligent products.
Your background ideally covers software development for sensors and systems—such as deep learning IPUs, embedded software, and camera/sensor components—with a focus on data processing across domains from embedded systems to app and cloud environments.
Key Responsibilities:
- Design, develop, and deploy advanced machine learning, computer vision, or data-driven features across our products spanning embedded, cloud, and app platforms
- Collaborate with machine learning specialists, data operations teams, UX/UI designers, and software engineers to solve complex challenges in intelligent product development
- Build and maintain robust data pipelines and workflows, ensuring efficient data collection, processing, and utilization from embedded sensors through to cloud and app environments (MLOps)
- Analyze and interpret user and device data to inform feature development and refine models or algorithms
- Work closely with UX/UI designers to ensure model outputs are effectively integrated and clearly presented within user-facing interfaces
- Define and participate in proof of concept hands-on data collection, annotation and bring up of new product feature to assess feasibility, performance, and scalability
- Optimize machine learning model deployment and performance across heterogeneous hardware and software platforms, with a focus on edge devices
- Ensure machine learning and data-driven features are accessible via well-defined APIs and interfaces
- Identify and proactively address technical risks or blockers in product and algorithm delivery
- Develop prototype demonstrators and perform rapid evaluations of new ideas and approaches
- Act as subject matter expert (SME) in specific domain, disseminating knowledge, guiding and mentor engineers in methodology, best practice and standards
- Participate in the maintenance and improvement of CI/CD infrastructure for continuous model and software delivery
- Mentor team members in best practices for software development, model deployment, data processing, and user-centric feature design
- Maintain a strong focus on product quality, performance, user experience, and successful feature delivery
Key Skills / Experience
- A bachelor's degree or higher in Computer Science, Electronics Engineering, Computer Engineering, Applied Mathematics or robotics engineering with strong quantitative background.
- Strong knowledge in image classification, segmentation, embedding and feature extraction
- Industry experience in building innovative end-to-end machine learning systems
- 5+ years of experience in computer vision/ML application software development and performance tuning.
- Experience in building, deploying and optimizing machine learning algorithms, especially deep learning and convolutional neural network.
- Solid understanding and hands-on experience of machine learning fundamentals, such as data visualisation, data cleaning, SVM, random forest, model ensemble, AdaBoost, deep learning deployment etc.
- Experience in integration and deployment of computer vision applications onto embedded system products or edge devices is highly desirable.
- Proficient in machine learning libraries, such as OpenCV, dlib, scikit-learn, numpy, scipy, PyTorch etc.
- Good command of object oriented programming capability, including speed and overall quality; specifically, must be able to write high performance product quality codes with C++ and Python
- Comfortable and familiar with embedded system programming under Linux environment for machine learning model deployment and performance tuning.
- Experience in AWS, Google Cloud or Microsoft Azure cloud service is a plus
- Good problem-solving and troubleshooting attitude with excellent analytics skills
- Professionalism and excellent communication skills; ability to communicate complex information to both technical and non-technical stakeholders.
- Optimism and an excitement about collaborating with teammates and interdisciplinary teams, and technically support development.
- For a highly experienced candidate, we expect excellent technical guidance skills and the ability to influence the work of others. Experience in over-sighting high complexity software development projects is an advantage
- Independent, Integrity and self-driven with a strong focus on results to ensure that the whole team succeeds in its goals.
- Fluent in spoken and written English.
#LI-MDB
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
