Machine Learning Engineer, Imp...

qeexo Qeexo

Our company brings together a unique combination of expertise in human computer interaction, machine learning, and hardware integration to create revolutionary interactive solutions.

We are looking for a person experienced in programming and the technical sciences who is not afraid of challenging, open-ended problems, and wants to help us shape the future of touch interaction. We do not expect expertise in machine learning in this position, but do want someone with strong interest in the field. You will be working with a small and highly capable team of machine learning engineers and will have the opportunity to make a meaningful impact on the growth of a burgeoning startup.

As a Machine Learning Implementation Engineer, your responsibilities will include:

  • Working with customers to design and implement Qeexo solutions
  • Modeling accuracy of Qeexo products on new hardware and sensor platforms
  • Running experiments to improving the core algorithms of Qeexo products on consumer devices
  • Developing new algorithms to improve our engine calibration process
  • Designing experiments to advance our machine learning understanding and techniques

Ideal Candidate:

  • Computer Science or EE background (MS or BS) with strong coding ability and familiarity with Java, C++ or other OOP language. (You will not be doing production-level coding but you will need to build some prototypes/tools for experiments.)
  • A proven track record of academic and/or industry experience in a technical field, possibly related to machine learning and signal processing
  • Familiarity with and interest in statistical and machine learning approaches and problem domains
  • Research-minded, ability to run experiments independently and present results to leadership
  • Comfortable working in a terminal environment, writing scripts (Bash/Python) to process data
  • Familiarity with and interest in ML/AI/classification
  • Experience in mobile or other consumer electronic devices

Skills & Requirements:

  • Python (proficient)
  • Machine Learning (familiar)
  • Signal Processing (familiar)
  • C (familiar)
  • Data Structures and Algorithms (familiar)
  • Some travel may be required
  • U.S. Work Authorization required

Bonus Qualifications

  • Familiarity with acoustics or mechanical wave propagation, signal processing, approximation theory, and information theory
  • Understanding of applied mathematics, computational science, computational statistics, approximation theory, compressive sensing, and/or pattern recognition

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