Machine Learning Engineer - E-commerce Recommendation

What you'll do

• Build recommendation algorithms and systems for large-scale e-commerce use cases.
• Model user interests and develop predictive models for candidate generation and ranking, including CTR and conversion prediction.
• Build real-time data pipelines, optimize models, and develop supporting and debugging tools.

What they ask for

• Bachelor’s degree or higher in Computer Science or a related field.
• Strong programming and problem-solving ability.
• Applied machine-learning experience and familiarity with one or more listed algorithms, such as collaborative filtering, matrix factorization, or deep neural networks.
• Experience with TensorFlow or PyTorch and at least one programming language such as C++ or Python, or equivalent.

Nice to have

• Experience in recommendation systems, online advertising, information retrieval, NLP, machine learning, or large-scale data mining.
• Relevant publications or experience in data-mining or machine-learning competitions.

Tools

TensorFlow, PyTorch, C++, Python, Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec

AI focus

Applies large-scale machine learning to e-commerce recommendations, user-interest modeling, and ranking and prediction models.