MGID was founded in 2008 and is one of the leading companies in native advertising. We enable our media partners to monetize their audience and help brands to promote their services and goods effectively.
MGID offers a range of integrated solutions covering the promotion process every step of the way; we offer services ranging from planning out the marketing strategy to its thoughtful implementation and optimization. Our clients include major international brands like Renault, Domino’s, airbnb, PizzaHut, Qatar Airlines, and many others, including media organizations and web agencies.
— One of the largest MarTech-companies in the Ukrainian market;
— A proprietary Highload service that delivers 185 billion advertisements to 850 million unique users in more than 60 languages;
— The winner of multiple AdTech awards for innovation and product quality;
— A workforce of 700+ employees operating from offices in the US, Europe and Asia;— A passion for cutting-edge technologies and a seamless vertical structure that allows the regional teams to exchange skills and development practices.
Your main duties are:
— Research, develop and upgrade state-of-the-art models for tabular, image and text data;
— Solve non-trivial ML tasks: recommendations for high-load systems, clustering complex data, hierarchical classification, etc.
— Data engineering for models creation: data transformation, enriching of data with new features;
— MLOps: deploying, maintaining and optimization of developed models;
— Research, patterns identification and formulating insights;
— 3+ years of experience in ML engineering / Data Science;
— Deep understanding of Machine Learning / Deep Learning;
— Advanced Python skills for transformation complex data;
— Experience with Tensorflow / PyTorch / Keras;
— Strong experience with big data processing technology stack (Spark, Hadoop, etc.)
Will be a plus:
— The ideal candidate holds an MSc or Ph.D. in Engineering, Statistics, Mathematics, or related fields.
— Knowledge of R;
— Understanding of online advertising, RTB systems, know the difference between DSP, SSP, and DMP.
What we offer:
— A career in one of the most ambitious, high-potential adtech companies;
— Flexible work arrangements with an adaptive approach;
— Top compensation, premium benefits for your mental health and work-life balance, educational and career development opportunities;
— Truly global experience with future business travel opportunities.