Senior Software Engineer, AI Retrieval
Asana seeks a talented Senior Software Engineer specializing in AI Retrieval. The primary mission is to improve the accuracy and speed of content discovery within our massive knowledge graph. This role involves building and optimizing complex search pipelines that combine traditional database indexing with advanced Natural Language Processing (NLP) models. Key responsibilities include fine-tuning embedding models, designing robust vector databases, and implementing ranking algorithms. You must have hands-on experience with ML frameworks (like PyTorch/TensorFlow) and a strong understanding of information retrieval techniques to translate user queries into highly relevant results.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
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2500
Fragensatz
180
Dauer
Permanent
Schwerpunkte
People Also Ask (FAQs)
What is the last date to apply for Senior Software Engineer, AI Retrieval?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Software Engineer, AI Retrieval?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the asana test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Senior Software Engineer, AI Retrieval test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Natural Language Processing (NLP), Information Retrieval, Machine Learning.
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