Machine Learning Lead, Search / Recommendations

European/ Asian Timezone (remote friendly)

Applications have closed
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GoodNotes

Discover the note-taking app loved by students, digital planners, notetakers all over the world. See why GoodNotes is the Editors' Choice on the App Store.
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Our Core Values:
* Users come first* Build a better product, not just different* Do less but get more done* Always be learning
The future of education is already here – it's just not evenly distributed. Join us now to bridge the gap between individual and collective intelligence. Take the lead of our ML engineering team to build a content discovery platform that encourages users to find their inspiration through learning and exploration. More than an Apple-featured App loved by million notetakers, let's create the future of learning together.

What you will achieve in this role

  • Make GoodNotes platform the epicenter for sharing and transferring knowledge
  • Design, build and deploy large scale note-sharing search/recommendation systems to serve millions of users
  • Identify and evaluate new ideas to tackle edge cases ranging from data collection to model development
  • Research new models and productionize solutions at scale from academic and industry knowledge
  • Work in a product-driven environment with quick iteration turnaround to get continuous feedback
  • Collaborate with product and design teams to identify opportunities to improve our content discovery
  • Promote best practices for managing the ML lifecycle inside the team

What you need to be successful

  • Hands-on experience in building end-to-end search and/or recommender systems at scale in production
  • Love for writing efficient and maintainable code
  • Strong understanding of computer science fundamentals and a solid background in software engineering
  • Familiarity with one or more distributed ML frameworks: TensorFlow, PyTorch, XGBoost, LightGBM, Spark MLlib
  • Experience with two or more of the following big data technologies: Hadoop, Spark, Hive, Kafka, Cassandra, Redis, Beam, Elasticsearch
  • Deep knowledge in one or more of the following ML subfields: Recommender Systems, Information Retrieval, Natural Language Processing, Reinforcement Learning, Graph Representation Learning, Social Network Analysis
  • Mastery in at least two programming languages: Java/Scala/C++ and Python
  • Ability to design and execute an R&D roadmap
  • Good taste as a maker
  • Interested in advancing innovation in education
  • Less experienced candidate will be considered as Machine Learning Engineer.  
Apply Now:
* You'll receive a competitive compensation and meaningful equity along with a chance to make significant contribution to a product people already love. * Most of our positions are eligible for remote work, provided you have at least 3 hours of overlap with the team in the office every weekday between 10 AM and 6 PM. Please indicate your preference in your application form.*You're also welcome to join us in our Hong Kong or London office, we sponsor visas and relocations.* We take care of you and your loved ones with medical insurance and flexible working hours including two optional work-from-home days! * Join our best company tradition, the annual off-site. Check out our pictures from team outings and more on our Instagram.
Job regions: Asia/Pacific Europe
Job stats:  3  1  0

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