Summary
We are looking for a brilliant Machine Learning Software Dev Engineer who has the passion to tackle challenging use case problems in the beauty industry. Using cutting edge deep learning technologies you will be a key member of the team developing highly scalable deep learning algorithms specifically designed to enable consumers to interact with IoT beauty products through their emotional state.
Company: WeSee AI Limited
Project Duration: 24 Man Days
Compensation: £500 per day
Specifically you will be required to:
- Collect, label and utlise test consumer video samples into the Wesee dataset
- Provide post trial analysis & data output feeds following specific data collection of Beauty & Hair product. Not limited to the detection of facial features, hair length, angle and speed of a selection of unique beauty products, including emotion and sentiment of user carrying out stated tasks.
- Present prototype of emotion reading module for kiosk based smart assistant
Basic Qualifications
- First Class Degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, Applied Math or related field with 5+ years of relevant work experience.
- Computer Science fundamentals in object-oriented design, data structures, high-performance computing (HPC).
- Computer Science fundamentals in algorithm design, complexity analysis, problem solving and diagnosis.
- Proficiency in Python. 3+ years experience
- Can translate user inputs to software requirements and design specifications and effectively communicate with team members.
- Programming under Windows and Linux operating systems
Preferred Qualifications
- Ph.D. with 5 years of relevant experience.
- Proficiency in C++.
- Experience with machine learning, deep learning, data mining, and/or statistical analysis tools.
- Experience taking projects from scoping requirements through to production - experience of creating product-ready code essential..
- Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience with highly distributed systems.
- Experience designing high performance software and algorithms for resource constrained IoT and mobile (iOS/Android) environments.
- Proficiency training large scale models in, at least, one modern deep learning engine such as Tensorflow, Caffe/Caffe2, Keras, PyTorch/Torch and Theano.
- Experience in GPU, FPGA, DSP acceleration and performance tuning.
- Experience in production-scale software development with ML/AI, computer vision and smart IoT device.
If you are interested in applying for this role then please contact stuart@weesee.com
