Role overview
- Video Introduction
- Introduction Call
- Case Study
- Technical Interview with the team
- Interview with Stakeholders and Lead
What you'll work on
- 5+ years of experience in search, information retrieval, NLP, machine learning, or deep learning with demonstrated product impact
- Deep expertise in semantic search technologies including query understanding, embedding-based retrieval with vector databases, and Learning-to-Rank methodologies
- Proficiency with LLMs and transformer architectures (BERT, T5, GPT) including fine-tuning, prompt engineering, and application to search use cases
- Strong Python and SQL skills with hands-on experience using ML frameworks such as PyTorch, TensorFlow, or HuggingFace
- Solid foundation in statistics with proven ability to design, execute, and analyze large-scale A/B tests and apply causal inference methods
- Excellent communication and collaboration skills with the ability to explain complex ideas to non-technical stakeholders and mentor junior team members
- Master's or PhD in Computer Science, Machine Learning, Information Retrieval, Natural Language Processing, Recommender Systems, or a closely related field.
Not ticking every box? We still want to hear from you. Apply, tell us what motivates you, and you could be a great match—now or in the future.
Tags & focus areas
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