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Principal Machine Learning Scientist

  • Location

    Seattle

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    Market Competitive (D.O.E)

  • Contact:

    Rebaz

  • Contact email:

    Rebaz@intelletec.com

  • Job ref:

    DS29406

  • Startdate:

    asap

  • Consultant:

    Rebaz Has

The opportunity to drive the adoption of Machine Learning and Computer Vision at a leading technology company with a market cap of over $750M.

The firm in question provides innovative software and services for point-of-sale (POS), reservation and table management, property management (PMS), inventory and procurement, workforce management, analytics, document management, and mobile and wireless solutions exclusively to the hospitality industry.

 

The role:

Senior Applied Scientist who has deep passion for building machine-learning solutions and can help us take our products to the next level. In this role, you will

 

  • Conduct hands-on data analysis and design machine-learning models.
  • Work closely with software engineers on detailed requirements, technical designs and solutions.
  • Provide technical leadership and research new machine learning approaches to drive innovation.
  • Help drive adoption of Machine Learning across the company.

 

Qualifications

  • Master’s degree in Data Science, Analytics or Computer Science with Machine Learning specialization or related discipline. A PhD is preferred.
  • 6+ years hands-on experience in building Machine Learning solutions.
  • 4+ years’ experience with data structures, algorithm design, problem solving and complex analysis.
  • Strong coding knowledge, experience with Azure or AWS machine learning pipelines.
  • Excellent understanding of convolution neural networks and other machine vision algorithms and methodologies.
  • Experience working effectively with science, data processing, and software engineering teams.
  • Excellent oral and written communication skills, with the ability to effectively communicate complex technical concepts and solutions.
  • Proven hands on experience working with large data sets and training models.
  • Ability to extract the practical implementation information from academic papers.
  • Interest in working on embedded systems.
  • Proven track record of executing complex projects.

 

Competitive base salary with stock package and annual bonus program.