
Senior Machine Learning Engineer
- Česko
- Trvalý pracovní poměr
- Plný úvazek
- We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.
- We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey.
- We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.
- Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
- Process historical data, search queries, product catalog, and images to extract hidden relations and features.
- Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC.
- Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
- Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.
- BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
- 5-8 years experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
- Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
- Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
- Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery.
- Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
- Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
- Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
- Effective communication skill in English, both verbally and in written form.