Vector jobs

Senior Software Engineer - Vector Search - Elasticsearch Distributed, Distributed, United States Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Senior Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a senior software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide

Senior Machine Learning Engineer III Mexico posted: Posted 8 Days Ago

Software Engineering Team Lead, AI and Search team (C/C++ or Rust) Bulgaria Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you're welcome.) At Redis, you'll work with the fastest, simplest technology in the business-whether you're building it, telling its story, or selling it to our 10,000+ worldwide customers. We're creating a faster world with simpler experiences. You in? Why would you love this job? As a Software Engineering Team Lead on Redis AI and Search, you'll take a hands-on leadership role in shaping the future of Search and AI at Redis. You'll build and lead a talented team responsible for Redis' Search and Redis' vector and AI capabilities - the foundation for real-time full-text search, vector similarity, and retrieval layers for modern AI systems, including RAG. This team sits at the core of Redis' next-generation data platform, where performance, scale, and innovation meet. What You'll Do - Lead and grow a high-performing engineering team while remaining hands-on in design and implementation - Provide technical leadership in systems-level development using C, C++, and Rust - Drive enhancements to Redis' AI and Search capabilities, including vector search, hybrid retrieval, and semantic caching - Design, maintain, and continuously improve CI/CD workflows to support high-velocity, high-quality releases - Lead incident response and customer engagement for production issues, ensuring timely resolution, postmortems, and process improvements - Collaborate closely

EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today's AI workloads in datacenters all around the world. As a Sr. SoC EMIR Engineer, you'll contribute to the EMIR sign-off of our SoCs and help maintain a high bar on quality. We're searching for an experienced EMIR engineer with a proven track record of handling challenges at scale. In this role, you'll be working directly with architects, designers, verification engineers, power integrity engineers and physical design experts - defining best practices in power grid design, developing test cases & vectors to model demand currents accurately, modeling & signing-off EMIR taking into account board and package impact, advancing the state-of-the-art in EMIR analysis and modeling. Key job responsibilities * Design & analyze power grids * Setup flows for EMIR analysis * Run EMIR analysis for large subsystems, SoCs * Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop and maintain dashboards for EMIR rollups * Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation A day in the life Depending on the state of the project, you may find yourself working on the following: * Design and evaluate power grids * Working with designers, architects and verification engineers to come up with worst-case vectors for power and IR analysis * Root cause

Machine Learning Engineer SE - Stockholm, Sweden posted: Posted 30+ Days Ago

Sr. RF Software Engineer (Starshield) Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. RF SOFTWARE ENGINEER (STARSHIELD) Starshield leverages SpaceX's Starlink technology and launch capability to support national security efforts. While Starlink is designed for consumer and commercial use, Starshield is designed for government use, with an initial focus on earth observation, communications, and hosted payloads. As a RF software engineer on the Starshield team, you will be working on advanced development programs in support of US National Security. You will work with a team of RF engineers, DSP engineers, software engineers, hardware engineers and end users to design and build RF capabilities for proliferated communications and remote sensing in low earth orbit. You will work in a highly collaborative and fast-paced environment, where we are exploring unsolved problems and applying the SpaceX mindset of iterating rapidly to go from design and demo to operational capability at lightning pace. RESPONSIBILITIES: - Drive program-level decisions on RF system designs - Research novel solutions for unique large-scale satellite RF systems - Design, build, validate, and automate RF test benches for full characterization of custom RF designs, often involving vector network analyzers (VNA), vector signal generators (VSG), vector signal analyzers (VSA), spectrum analyzers, load pulls, RF power meters, high-speed oscilloscopes, and

Senior AI Machine Learning Engineer 4 Locations posted: Posted 24 Days Ago

Machine Learning Student, (MSc Students) Israel-Caesarea Granit posted: Posted Yesterday

Member of Technical Staff (Senior - Specialized Indexing) Bangalore, India Category-defining tech. Career-defining work. Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact. Because when our customers win, we all win. The Role The SQL Queries team is responsible for the core of CockroachDB's query execution and optimization layer. This group designs and delivers features that make our distributed SQL engine fast, reliable, and flexible for a wide range of workloads. AI is transforming how we search, learn, and build, and databases are evolving to keep up. We're forming a new Specialized Indexing subteam within SQL Queries to expand CockroachDB's indexing capabilities beyond traditional relational workloads. This team will design and implement high-performance indexing systems such as vector, full-text, and geospatial indexes to support the next generation of AI-native and search-driven applications . As part of this team, you'll work on deep systems problems, collaborate across the SQL organization, and build production-quality features that make CockroachDB a unified platform for both structured and unstructured data. You Will - Design, build, and maintain specialized indexing features for CockroachDB, including vector , full-text, and geospatial indexing. - Improve the performance and reliability of existing vector indexing systems, including backfill, query planning, and import workflows. - Partner with

Sr Machine Learning Engineer- ML Infrastructure & Data Platforms 2 Locations posted: Posted 30+ Days Ago

RF Software Engineer (Starshield) Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. RF SOFTWARE ENGINEER (STARSHIELD) Starshield leverages SpaceX's Starlink technology and launch capability to support national security efforts. While Starlink is designed for consumer and commercial use, Starshield is designed for government use, with an initial focus on earth observation, communications, and hosted payloads. As a RF software engineer on the Starshield team, you will be working on advanced development programs in support of US National Security. You will work with a team of RF engineers, DSP engineers, software engineers, hardware engineers and end users to design and build RF capabilities for proliferated communications and remote sensing in low earth orbit. You will work in a highly collaborative and fast-paced environment, where we are exploring unsolved problems and applying the SpaceX mindset of iterating rapidly to go from design and demo to operational capability at lightning pace. RESPONSIBILITIES: - Drive program-level decisions on RF system designs - Research novel solutions for unique large-scale satellite RF systems - Design, build, validate, and automate RF test benches for full characterization of custom RF designs, often involving vector network analyzers (VNA), vector signal generators (VSG), vector signal analyzers (VSA), spectrum analyzers, load pulls, RF power meters, high-speed oscilloscopes, and other common

Senior Machine Learning Software Engineer Kraków, POL posted: Posted Today

Machine Learning Engineer IL - Chicago posted: Posted 16 Days Ago

Senior Technical Product Marketing Manager United States We are hiring a Senior Technical Product Marketing Manager to lead positioning and messaging and to grow adoption of MongoDB Search and Vector Search as foundational components of our platform - the retrieval layer powering the next generation of grounded AI applications and agents. This is a high-impact role for a marketer who thinks like a builder. As developers architect increasingly sophisticated systems - RAG pipelines, agentic workflows, multi-modal search experiences - retrieval has moved from an implementation detail to a core design decision. You'll join a high-performing, globally distributed team and partner closely with Marketing, Builder Relations, Product Management, Engineering, Partners, and Sales to develop, measure, and achieve cross-functional goals. The role requires technical depth in information retrieval - lexical and vector search, hybrid approaches, embeddings, re-ranking, agentic retrieval loops, and the tradeoffs that matter in production systems - paired with the product marketing instincts to turn that depth into crisp, differentiated messaging for distinct user and buyer personas. Hands-on experience building or shipping AI-enabled products is a strong advantage. Individuals with prior experience in technical sales, developer relations, or technical marketing are encouraged to apply. This person is a voracious consumer of AI research and pays close attention to shifting patterns in application architectures and development, including agentic systems. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. We are looking to speak to candidates who are

Machine Learning Engineer Germany - Munich posted: Posted 30+ Days Ago

Staff Product Manager, AI Platform San Francisco, California RDQ427R276 Location: San Francisco or Seattle At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle - from feature engineering and model training to model serving and monitoring - enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores. Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform - connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into

Senior Machine Learning Engineer Warsaw posted: Posted 9 Days Ago

Sr. Manager, Engineering - Search Mountain View, California RDQ426R193 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Senior Engineering Manager for Search, you'll play a critical role in building and scaling our next-generation Search product - spanning Vector Search, Keyword Search, and Search Quality. You'll drive the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, you'll help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts that expand the technical and business impact of Search at Databricks. The impact you will have: - Lead a team of talented software engineers to design, build, and operate the next-generation cloud-native Search services. - Drive innovation across Vector Search, Keyword Search, and Hybrid Search capabilities to improve

Machine Learning Engineer, Firefly Services 2 Locations posted: Posted 30+ Days Ago

Staff Software Engineer, AI Search Mountain View, California RDQ427R351 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Staff Engineer for Search, you'll play a critical role in building and scaling our next-generation Search product - spanning Vector Search, Keyword Search, and Search Quality. You'll drive the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, you'll help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts that expand the technical and business impact of Search at Databricks. The impact you will have: - Drive the architecture and evolution of the Search product, delivering scalable, low-latency, and high-quality retrieval across massive multimodal datasets. - Identify and solve challenges in indexing, storage, query execution, and ranking -

Senior Data Engineer Python/GCP (x/f/m) Paris, Paris, France Your Impact We are looking for a Senior Data Engineer to join the AI Team working on our AI Medical Companion . Your mission will be to build and optimize the data foundations that power safe, scalable, and impactful AI models. You will work on data infrastructure for LLM, VLM, and RAG-based systems , ensuring our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data. Your work will directly support health professionals in delivering better care while improving their work-life balance, ultimately impacting 80 million patients and 400,000 healthcare professionals across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: - Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases - Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models - Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently - Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability - Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption - Optimize performance and cost of data pipelines

Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today's AI workloads in datacenters all around the world. As a Sr. EMIR Engineer, you'll contribute to the EMIR sign-off of our SoCs and help maintain a high bar on quality. We're searching for an experienced EMIR engineer with a proven track record of handling challenges at scale. In this role, you'll be working directly with architects, designers, verification engineers, power integrity engineers and physical design experts - defining best practices in power grid design, developing test cases & vectors to model demand currents accurately, modeling & signing-off EMIR taking into account board and package impact, advancing the state-of-the-art in EMIR analysis and modeling. Key job responsibilities * Design & analyze power grids * Setup flows for EMIR analysis * Run EMIR analysis for large subsystems, SoCs * Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop and maintain dashboards for EMIR rollups * Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation A day in the life Depending on the state of the project, you may find yourself working on the following: * Design and evaluate power grids * Working with designers, architects and verification engineers to come up with worst-case vectors for power and IR analysis * Root cause

Senior Machine Learning and AI Engineer Toronto, ON, CAN posted: Posted 4 Days Ago

Machine Learning Engineer - II 2 Locations posted: Posted 30+ Days Ago