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NLP/Semantic Search ML Engineer

  • Location

    California, USA

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Alexis Ahern

  • Email:

    Alexis.DAhern@darwinrecruitment.com

  • Job ref:

    JN -022019-82711_1569355052

  • Published:

    28 days ago

  • Startdate:

    ASAP

We are partnered with a cutting-edge E-Learning company based out of the Bay Area. They are committed to providing resources and information to both students and educators and are looking for a Senior Machine Learning Engineer to act as a leader in their new Semantic Search team.

They are looking for search specialized ML Engineers who are hands-on coders. The ideal candidate can build semantic search capabilities through NLP, Deep Learning, and Learning-Rank techniques. Looking for candidates who have built search relevancy ranking, semantic matching systems, named-entity recognition, recommendations, and query expansions.


More Responsibilities:

-Combining Elasticsearch with Machine Learning
-Delivering search intelligence and data-driven products
-Building models to infer user behavior, intent, usage and trends with other engineering and product teams.
-Improving relevancy and functionality for customers
-Designing and building recommendation and pricing engines.
-Providing technical leadership
-Mentoring team members
-Thriving in a fast-paced collaborative environment.

 

Requirements:

-5+ years of building semantic matching systems and leading projects

-3+ years of expertise in Machine Learning/Deep Learning frameworks (Tensorflow, Keras, Scikit-Learn)

-Masters degree in computer science, information retrieval or related field.

-Python is a must