Senior Machine Learning Engineer, Recommendations & Ranking Algorithms

Vancouver, Canada

Full Time Senior level / Expert
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Posted 1 month ago

Course Hero is scaling! We are looking for a Senior Machine Learning Engineer, Recommendations & Ranking Algorithms who can hit the ground running and work on a lot of fun and challenging projects related to Search and Recommendations. 


You will be part of the Machine Learning (ML) Product Engineering group and will collaborate cross-functionally to build and ship ML products that are used by millions of Students and Educators. Products powered by ML are critical to Course Hero’s success, powering many aspects of our marketplace and supporting student-facing use-cases. 


We expect you to thrive in a fast-paced, high-growth environment, and adapt to ever-changing business needs. You can view these videos to learn more about our engineering culture, and our company mission.


Here are some ways you’ll make an impact 

  • Be a self motivated, bold thinker, innovator and builder of scalable end-to-end ML systems and embrace full stack data science
  • Build recommendation algorithms to help the students discover the right content across multiple content types including a large corpus of documents (>40M) and Q&A (>150M)
  • Develop algorithms for predicting demand and personalizing search results
  • Collaborate cross-functionally with product owners and UX designers to ideate, execute, and deliver compelling and personalized intelligent study experiences


Are you our next ML team member?

  • 5+ years of industry experience in building Machine Learning algorithms and systems, with a focus on Discovery, Search and Recommendation systems
  • 2+ years of experience using ML frameworks Scikit-Learn, PyTorch, or Tensorflow
  • 3+ years of solid programming experience in Python or Scala
  • Competence (minimum Bachelors) in computer science, mathematics or other quantitative disciplines

Bonus Points

  • Experience in working with Spark, Hive
  • Passionate about recommender systems, and are constantly learning as the field evolves
  • Extremely passionate about education


Benefits & Perks

  • Competitive salary and stock options
  • Full private medical coverage (medical, dental, vision)
  • Retirement savings program
  • Paid Parental Leave
  • Flexible Work Schedule
  • Education Reimbursement
  • Quarterly team events and outings 
  • Team lunches 
  • Free lunches twice a week, on-site cafe discount, plus an endless snack and drink supply
  • Social responsibility program (volunteer hours and donation matching program)
  • Front row seat to Master Educator lectures – check out our Lecture Series videos

Equal ​Employment Opportunity Statement ​(EEO)

We are an equal opportunity employer and value diversity and ​inclusion within our company.  ​We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender ​identity, gender expression, sexual orientation, age, marital status, ​veteran status, or ​ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.


About Us:

At Course Hero, we have an awesome team and a truly engaging culture. We are customer-focused, collaborative, responsible, gritty, and we love to learn. Our bold mission is to help students graduate confident and prepared!


We are not the only ones that think we’re onto something big. Course Hero has been recognized as one of the 2021 Top 100 Best Places to Work in the Bay AreaTop 50 Best Paying Companies in the Bay AreaTop 100 Most Transparent Companies, and in the Top 50 Most Transformational Companies in Education Technology. Read up on some of our recent news coverage, blog, and learn more about us to see what it is like to work with our team. 

Job tags: Engineering Machine Learning ML Python PyTorch Scala Scikit-Learn Spark TensorFlow UX
Job region(s): North America
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