AI & Machine Learning, DSP Algorithms
Elliptic Labs
Oslo, Norway
4 dager siden

Overview

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.

Job Requirements

  • 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)
  • Required Experience

  • 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
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