Senior Software Engineer – Vector Search, Elasticsearch

🕒 il y a 4 jours

🇨🇭 Suisse – Télétravail

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Elastic

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1001 - 5000 employés

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📦 Logistique

Consulting • Logistics • Cloud Security

Elastic est un leader dans l'industrie de l'IA de recherche, offrant une plateforme qui combine des outils de recherche puissants, des analyses de sécurité et des solutions d'observabilité. Avec des produits tels que la suite ELK et Elasticsearch, elle permet des analyses en temps réel et une visualisation des données adaptée à divers secteurs. Reconnue par les grandes entreprises, Elastic facilite la création d'applications pilotées par l'IA et gère efficacement de vastes quantités de données grâce à ses services cloud.

Description

• Lead initiatives within Elasticsearch to produce an industry-leading search engine with speed and relevance • Build new search features and fix bugs in Elasticsearch • Improve code understandability and sometimes invent or implement algorithms and data structures • Work close to the operating system and hardware when needed • Collaborate with a globally distributed team focused on Elasticsearch vector search capabilities • Identify and drive improvements in Elasticsearch search relevance • Work with global community members on issues and pull requests, triaging, handing off, or resolving them • Write idiomatic modern Java • Contribute to the technical direction and vision for search capabilities, including designing and implementing features and enhancements

🎯 Exigences

• Experience implementing novel techniques in vector similarity on a search platform with a large user base or advancing academic research in vector similarity information retrieval • Professional experience with search or vector databases • Experience using HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale • Solid core Java skills, including the standard library, data structures, concurrency constructs, and lambdas • Ability to work autonomously and guide projects from beginning to end, including technical design and developing components with other engineers • Experience with collaborative development, code and API reviews, and asynchronous internet collaboration • Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra • Proven track record using AI to accelerate development, debug complex systems, and optimize code while owning final outcomes • Ability to collaborate across functions and teams and transition between projects, codebases, or teams • Ability to drive decisions and results in a distributed team using asynchronous, direct, and transparent communication • Export license may be required as a condition of employment for individuals located in or nationals of Belarus, Cuba, Iran, North Korea, Syria, or Russia, including specified annexed Ukrainian territories

🏖️ Avantages

• Competitive pay based on the work you do here and not your previous salary • Health coverage for you and your family in many locations • Ability to craft your calendar with flexible locations and schedules for many roles • Generous number of vacation days each year • Elastic matches up to $2000 (or local currency equivalent) for financial donations and service • Up to 40 hours each year for volunteer projects • Minimum of 16 weeks of parental leave • Inclusive culture and accessibility accommodations

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