高级软件工程师 - 搜索
查看雇主原标题
Senior Software Engineer - SearchDatabricks · Bengaluru, 印度
职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。
为什么值得关注?
发现指数 42/100,仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
分数构成
- 时效性 (随职位发布时间变化)+18
- 雇主官方来源+15
- 稀有职位+1
- 公司来源健康度+8
该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。
这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。
职位描述
机器翻译P-926
Databricks 的应用 AI 团队处于推进 AI/ML 驱动产品的最前沿。Databricks 的客户不断在平台上创建新的资产(表、笔记本、仪表板、数据室、管道、SQL 查询、ML 模型等)。查找资产是 Databricks 客户的关键用户旅程,可帮助他们完成任务。
随着我们的搜索产品不断发展,我们正在寻找多位资深工程师来推动搜索质量的提升。在 2026 年,我们将专注于增强搜索排序、改进查询理解、构建稳健的评估体系,并扩大资产覆盖范围,以实现大规模的无缝搜索。
岗位职责
• 推动与 Databricks 产品和服务集成的基于 ML 的搜索和发现相关性模型及系统的开发和部署。
• 设计并实现用于数据预处理、查询理解与重写、排序与检索以及模型评估的自动化 ML 和 NLP 管道,实现快速实验和迭代。
• 与产品经理和跨职能团队合作,推动技术优先的举措,为搜索和发现体验带来新颖的业务策略和产品路线图。
• 为构建用于评估搜索排序改进的稳健框架做出贡献——包括离线和在线。
任职要求
• 计算机科学或相关领域的学士及以上学位(硕士或博士优先)。
• 5 年以上在生产环境或高影响力研究环境中大规模开发搜索相关性系统的经验。
• 查询理解
• NLP
• 文本挖掘
• 推荐
• 个性化
• 发现
• 对话式 AI
• 对计算机科学基础知识有扎实的理解。
• 对广泛使用的开源项目有贡献。
福利待遇
在 Databricks,我们正在构建最先进的 AI 解决方案,重新定义用户与数据及我们产品的交互方式。您将有机会塑造 Databricks AI 驱动产品的未来,使用前沿模型,并与世界一流的 AI 和 ML 专家团队合作。
如果您对在现实应用中推动 AI 的边界感到兴奋,我们期待您的来信! 关于 Databricks
Databricks 是数据和 AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever 以及 70% 的财富 500 强企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和代理。Databricks 总部位于旧金山,在全球拥有 30 多个办事处,提供统一平台,包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多信息,请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
在 Databricks,我们致力于提供满足所有员工需求的全面福利和待遇。如需了解您所在地区所提供福利的具体详情,请点击此处。
我们对多元化和包容性的承诺
在 Databricks,我们致力于营造多元化和包容性的文化,让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性并符合平等就业机会标准。在 Databricks 寻求就业的个人不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问受出口管制的技术或源代码,雇主可自行决定是否为此类职位申请美国政府许可证,且雇主可能仅因此原因而拒绝继续推进申请人的申请。
以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。
查看雇主原文
职位描述
P-926
The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks.
As our Search product continues to evolve, we are seeking multiple senior engineers to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.
岗位职责
• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services.
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration.
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience.
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.
任职要求
• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 5+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects.
福利待遇
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you! About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.