2 Vespa Jobs

Position Summary... What you&aposll do... Job Description We build and scale the core Search Platform that powers millions of customer queries daily across multiple geographies. Our systems handle catalog indexing, query understanding, ranking, personalization, and retrieval at global scale with sub-second latencies. The teams mission is to deliver highly relevant, fast, and personalized search results that directly influence customer satisfaction and business growth. As a Software Engineer (Search Platform) , you will design and build distributed systems that drive search relevance, scalability, and reliability. You will collaborate closely with engineers, data scientists, and product managers to deliver world-class search experiences. About Team The Global Search Engineering Team is responsible for the core search services that power product discovery across multiple markets and platforms (desktop, mobile, and voice). We build highly scalable systems that support: Catalog indexing across millions of SKUs globally. Query understanding and expansion across multiple languages. Ranking & personalization using ML models and customer behavioral signals. Experimentation platforms for continuous improvement of search quality. The teams impact is directly tied to customer experience, engagement, and revenue. What You&aposll Do Design, develop, and maintain large-scale search and retrieval systems that serve millions of queries per second. Implement low-latency APIs (REST/GraphQL) for query execution, autocomplete, and personalized ranking. Work on distributed search infrastructure using technologies such as Elasticsearch, Solr, OpenSearch, or Vespa. Build and optimize indexing pipelines for catalog ingestion, query expansion, and relevance signals using streaming platforms like Kafka/Kinesis. Apply information retrieval techniques (BM25, semantic search, learning-to-rank, embeddings) to improve search result relevance. Collaborate with ML engineers to integrate vector embeddings, personalization, and reranking models into search services. Ensure system resilience with fault tolerance, fallback strategies, and graceful degradation mechanisms. Optimize for sub-200ms global latency with caching (Redis, CDN), sharding, and replication strategies. Work with observability platforms (Prometheus, Grafana, OpenTelemetry) to monitor query performance, detect anomalies, and drive improvements. Partner with cross-functional teams recommendations, personalization, catalog ingestion to ensure end-to-end customer experience. Participate in code reviews, mentorship, and design discussions, driving best practices across the team. Contribute to A/B testing frameworks and analyze metrics like NDCG, CTR, recall/precision to validate relevance improvements. What You Will Bring... A Bachelors or Masters degree in Computer Science, Engineering, or related field. 36 years of experience in software engineering, with at least 2+ years in search, recommendation, or distributed systems. Proven experience in large-scale system design and search infrastructure. Strong problem-solving, debugging, and analytical skills. A collaborative mindset, with the ability to work effectively with globally distributed teams. Curiosity to explore new technologies in search, ML, and distributed system. Technical Skills: Core Software Engineering Foundations Strong proficiency in Java, Scala, C++, Go, or Python. Deep understanding of data structures and algorithms, particularly search-related. Strong grounding in object-oriented and functional design. Experience building low-latency REST/GraphQL APIs. Search & Information Retrieval (IR) Domain Knowledge of indexing, ranking, and query parsing. Experience with ranking algorithms: BM25, semantic search, LTR. Familiar with query understanding techniques (spell correction, synonyms, tokenization). Exposure to search metrics (CTR, NDCG, recall, precision). About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity expert&aposs and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone isand feelsincluded, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor&aposs degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 2years experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 4 years experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Certification in Security+, Network+, GISF, GSEC, CISSP, or CCSP, Masters degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity, or related area Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2260137 Show more Show less

At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied Machine Learning group is in search of a driven and results-oriented individual to help push the needle of what ML and AI can be used for, while researching new frontiers to raise the bar higher. In this role, as part of the Applied Machine Learning team, you will be responsible for conceptualizing, designing, implementing, and running cutting-edge solutions. You will leverage best-suited ML, AI, and NLP techniques and contribute to building reusable platforms. The team has a broad impact, providing exposure to cross-functional projects with challenging use cases where modern technologies can solve real-world problems. We are seeking someone with a proven track record in crafting and developing high-quality enterprise software solutions. This position requires a hands-on individual who is passionate about problem-solving, able to think creatively about solutions, and lead by example when implementing them. The ideal candidate should be self-starting, upbeat, with excellent written and communication skills, a hardworking collaborator, unafraid to question assumptions, and willing to take initiative. Minimum Qualifications: - Bachelor's in Computer Science or equivalent experience - 7+ years of experience in building and managing big-data platforms, with programming experience in Java - Working experience with search and information retrieval tools such as Lucene, Solr, Elasticsearch, Milvus, Vespa Preferred Qualifications: - Experience scaling distributed ML and AI systems to handle millions of concurrent requests - Experience with ML applications in cross-domain contexts - Experience with public cloud platforms like AWS/GCP - Good understanding of AI/ML stack including GPUs, MLFlow, LLM models - Understanding of data modeling, data warehousing, and ETL concepts - Experience in creating frameworks to deploy platforms in AWS/Azure/GCP - Ability to lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams - Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed If you meet these qualifications and are excited about the opportunity to contribute to cutting-edge machine learning projects at Apple, we would love to hear from you. Please submit your CV for consideration.,