© Bigabid

Careers at Bigabid

Senior Deep Learning Researcher

#li-hybrid Bigabid focuses on solving the key challenge of growth for mobile apps by building Machine Learning and Big Data-driven technology that can both accurately predict what apps a user will like and connect them in a compelling way. Our technology operates at a scale well beyond some of the largest internet companies, processing over 50 TB of raw data per day, handling over 4 million requests per second, and interacting with over a billion unique users a week. 

Our innovative platform is leading-edge with a strong product-market fit. As a result, we're seeing remarkable growth and close to zero customer churn. To support our hyper-growth and continue propelling the growth of some of the biggest names in the mobile industry, we offer a wide range of opportunities for different skill levels and experiences.

We are looking for a senior ML researcher who is passionate about exploring complex data sets, drawing meaningful insights, and building high-quality real-time data products that complement our robust arsenal of industry-leading technologies.

As a senior ML researcher at Bigabid, you will be creating high-impact Machine Learning projects. In close coordination with stakeholders, you will play a major role in driving the data science roadmap and execution by providing the best solution to a game changer business problem.

  • Deliver end-to-end ML products - including research, model development, prototyping, offline validation, implement in production, and online testing
  • Be a key player in the DS group - providing insights, best practices, novel techniques and research, and technical know-how to other data scientists
  • Develop ML solutions using advanced DL techniques to a diverse set of problems.
  • Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models
  • Apply the scientific method to design, create, tune, and interpret machine learning models
  • Perform data manipulation, validation, and cross-domain research
  • Come up with new and creative research ideas and insights
  • Collaborate with our product and engineering teams to solve problems and identify trends and opportunities.


  • 5+ years experience as a Data Scientist
  • 2+ years experience working with Deep Learning.
  • 2+ years experience working with recommender systems
  • Hands-on experience building and deploying deep learning models to production
  • High level scripting and programming skills in Python
  • Superior verbal, visual, and written communication skills to educate and work with cross functional teams on controlled experiments.
  • Team player, responsible, delivery-oriented
  • Troubleshooter, problem-solver who knows how to navigate trade-offs
  • Work experience as a data analyst - an advantage
  • At least a Master's degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field.
  • Experience in ML over user personalization, ad-tech, or highly imbalanced data- an advantage
  • Experience with vector databases - an advantage
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