We are looking for AI & Machine Learning engineers to support our effort to bring ML-based gesture detection to consumer electronic devices.
Hardware-accelerated neural networks and ultra-low-power DSPs are hitting the market simultaneously, and Elliptic Labs has positioned itself ideally to take advantage of these two trends.
Elliptic Labs is a Qualcomm premium partner and shows its Snapdragon Neural Processing Engine (SNPE) technology at tradeshows such as The Consumer Electronics Show and Mobile World Congress.
The candidate has a background in machine learning, having previously delivered real-time ML products to the market. Outstanding candidates with a signal processing background and a strong interest in ML should also apply.
Work with our Machine Learning team to develop world-class gesture classification products
Identify strengths and weaknesses in existing data sets, and give directions for future data collection
Architect, implement, and optimise our ML products
Understand the requirements from our customers and work with our product management to iterate on the best possible user experience
Potentially travel up to 10% of the working time (or more if agreed otherwise)
Bachelor’s in Computer Science or equivalent field or experience
Excellent coding skills
Understanding of supervised learning and time-series classification
Understanding of multiple ML algorithms, how they work and the trade-offs involved
Understanding of basic signal processing skills such as time and frequency domain analysis
Experience with ML frameworks, e.g. Caffe or Tensorflow.
Experience with voice recognition is a plus
Enjoy working in a fast-paced, high-output and time-critical environment
Eagerness to create high-volume, low-power, cost-sensitive consumer electronics products