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Lead Machine Learning Engineer, Entity Understanding at Glassdoor (Chicago, IL)

Our mission is to help people everywhere find a job and company they love. We are disrupting an industry by changing how people search for jobs and how companies recruit top talent. 

Glassdoor is leading the industry in how jobs seekers are matched to a job and we are building state of the art algorithms to power personalized jobs search experience for 60+ Million unique users per month and growing. 

You will lead a highly talented team of engineers and data scientists using the latest open source technologies and frameworks to build entity recognition and query understanding features to optimize our personalized Jobs search experience. 

Join us if you have a deep understanding of NLP and machine learning techniques and experience implementing those models at large scale in real-world applications. 

Key Responsibilities:

  • Lead a team of engineers and data scientists to improve the quality of entity recognition and query understanding
  • Lead projects to define,  research  and implement entity extraction from our multi-lingual job description data-set, and improve query understanding features to optimize the search experience
  • Coordinate cross-team projects and proactively drive projects to completion
Key Qualifications:
  • Hands-on technical leader with excellent problem solving and analytical skills. Capable of making sound decisions and bringing others on board with proposed solutions.
  • Deep understanding and hands-on experience in applying machine learning solutions to solve real-world NLP problems
  • Hands-on experience using structured and unstructured data
  • Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering
  • Experience with analyzing large data sets, using Hadoop, Spark or related technologies is a plus
  • Familiarity with search domain (Information retrieval, Solr/ Lucene or related tech)  is a plus
  • Excellent written and verbal communication skills
  • M.S. or above in Computer Science or a related field

Why Glassdoor?

  • Work with purpose – join us in creating transparency for job seekers everywhere
  • Glassdoor gives back! Glassdoor is a Pledge 1% member; all employees receive 3 paid volunteer days per year
  • 100% company paid medical/dental/vision/life coverage; 80% dependent coverage
  • Paid holidays and flexible paid time off
  • Long Term Incentive Plan 
  • 401(k) Plan with a Company Match to prepare for your future
  • No gender pay gap; we’re committed to equal pay with our annual pay gap ’checkup’
  • Located in up-and-coming Fulton Market neighborhood
  • Discounted memberships for local gyms and Divvy
  • Free snacks, drinks, and coffee always available 
  • Your choice between Mac or PC
  • Fun office events and celebrations
  • Convenient to public transportation, with pre-tax commuter benefits available

Glassdoor is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, age, veteran or military status, or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.