Perplexity11 days ago
Специалист по техническим вопросам (ML-инженер, качество ранжирования - поиск)
Salary not specified
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Полная занятостьBelgrade
Responsibilities
- 01Relentlessly push search quality forward through models, data, evaluation, infrastructure, or any other leverage available
- 02Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely
- 03Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate
- 04Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring
- 05Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity
- 06Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome
Requirements
- 01Deep understanding of search or recommender systems and their evaluation
- 02Proven ownership of a large-scale production ranking system or a substantial class of quality problems
- 03Strong machine-learning and software-engineering skills across data, models, serving, and monitoring
- 04Ability to drive ambiguous, cross-team problems without continuous task decomposition
- 05Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime
- 06Minimum 5 years of relevant industry experience