Machine learning tech lead
PicsArt makes it easy to step-up your photo and video editing game, make amazing images and share with friends.
It's the one app that lets you be truly creative with its almost limitless features ― and it's starting a movement to help the people "go beyond the filter" and make awesome pictures. With 500+ million installs and 120 million monthly users, PicsArt spans the globe and is available in over 30 languages.

We are looking for Machine Learning Tech Lead to join our ML team of 15 strong engineers. We are looking for a leader capable of inspiring and directing the work of creating and improving Recommender Systems, Image Processing, Computer Vision models and implementation of those models to the company's products.

Salary: depends on the candidate's qualification
Responsibilities
  • Develop and scale algorithms and mathematical models that significantly improve our current ability to make decisions based on qualitative and quantitative data
  • Identify and articulate the value that can be derived from application of certain machine learning models
  • Lead and be a positive influence on the team of the strongest ML engineers in the region
  • Partner with our technology team and other departments to ensure that we are developing the right services, tools and infrastructure
Qualifications & Competencies
  • 4+ year of work experience in the industry with different aspects of machine learning
  • Experience in leading the team and mentorship
  • Deep understanding of classic ML and DL theory, and extensive hands-on experience putting it into practice
  • Deep understanding of Bayesian modeling techniques
  • Strong background in statistics, linear algebra, calculus and probability theory
  • Deep knowledge of Python
  • Experience in debugging
  • Experience working with Python scripting, NumPy, SciPy, Matplotlib, Scikit-learn, Jupyter notebooks, Bash scripting, Linux environment
  • Deep knowledge of DL frameworks (Tensorflow, Pytorch, Theano, Caffe)
  • Experience working with DCE, CCE (Hadoop or Spark)
  • Experience with SQL and relational databases
  • Experience with state-of-the-art techniques in machine learning algorithms (deep neural networks including image recognition, image-to-image translation)
Would be a plus
  • PhD in Data Science or related fields
  • Familiarity with multi-threaded programming
  • Experience in teaching data science or related disciplines
Why do we recommend this job?
Challenging tasks
Freedom to implement your ideas to the product used by millions of users while solving complex ML tasks
Cool office
Comfortable office located in the TUMO center for Creative Technologies
Team of high professionals
Opportunity to join and guide strong team of ML professionals in one of the leading companies on the market of mobile photo and video editing apps
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