Vector jobs

SoC ATE Test Engineer New Taipei, Banqiao District, New Taipei City, Taiwan; +1 more Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability. In this role, you will help develop and deploy a comprehensive test solution using Automatic Test Equipment (ATE) for high volume manufacturing. You will help integrate the System on Chip (SoC) technologies into devices and facilitate ATE manufacturing testing of SoC to validate performance and screen out devices. You will own all aspects of testing and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs. Additionally, you will work with various groups to develop digital and mixed signal tests, automation methodologies, develop/support internal tools for test program generation, vector tracking, test program release, etc. You will also work on releasing cost effective production test solutions into mass production. You will work closely with foundry and Outsourced Assembly and Test (OSAT) partners. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and

Senior ML Engineer - Firefly Bucharest posted: Posted 30+ Days Ago

Senior Software Engineer, Machine Learning, Debug Singapore Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will play a critical role in advancing our mosquito-born disease eradication program, directly contributing to vector control and public health initiatives. You will sit at the intersection of computer vision, statistical modeling, and software engineering. You will be solving complex biological problems and writing the production-ready code required to deploy those solutions into the real world. Design, train, and deploy deep learning models to visually analyze mosquitoes in our production process. Build high-accuracy object detection and image segmentation pipelines to count mosquito pupae from complex, real-world image data. Leverage environmental data and biological parameters to model mosquito population dynamics, ultimately optimizing

Machine Learning Engineer - 3 Bangalore posted: Posted 30+ Days Ago

SVP, Product Management, B2C Agentforce Commerce California - San Francisco; Washington - Seattle; Massachusetts - Boston; New York - New York SVP, Product Management - B2C, Agentforce Commerce Cloud About the Role: We are looking for a visionary, strategic, and deeply experienced product executive to guide the future of our Commerce Cloud, with a specific focus on our B2C E-commerce offerings. You will take ownership of new product capabilities from initial concept to market leadership, managing a powerhouse team of VPs and Sr. Directors to scale our B2C Commerce organization. The future of e-commerce is fundamentally changing with the rise of Agentic Commerce. As our SVP of Product, you will shape how consumers discover, interact with, and purchase products in a fully AI-native commerce experience. You will be accountable for both groundbreaking product innovation and top-line revenue growth, working in lockstep with go-to-market strategy, sales, alliances, and marketing. The ideal candidate is a natural evangelist, a deep commerce domain expert, and a technical leader obsessed with building scalable, composable solutions that create delightful, frictionless shopping journeys. Key Responsibilities: Define and Evangelize the Commerce Vision: Build a compelling, market-defining vision for the future of the B2C Agentforce Commerce Cloud. Focus on how AI and agentic capabilities will revolutionize the user experience, and evangelize this vision to merchants, integration partners, and internal stakeholders. Lead the Product Lifecycle & Strategy: Direct a high-performing, global product management team through every phase of the lifecycle. Own the roadmap for core commerce capabilities-from catalog management and

Software Development Engineer - Adobe Mix Modeler Bucharest posted: Posted 28 Days Ago

Software Development Engineer, AWS MemoryDB Vancouver, British Columbia, CAN This is an opportunity to join one of AWS's most foundational and high-impact engineering teams - the Data Plane team within Amazon ElastiCache and MemoryDB. We own the core in-memory engine that powers millions of customer workloads: the data path, durability layer, replication protocol, snapshot system, and advanced data structures. Our work sits at the intersection of systems programming, database internals, and performance engineering - every microsecond matters when you're serving the world's most latency-sensitive applications. If you've ever found yourself deep in a conversation about write-ahead logs, copy-on-write fork semantics, lock-free data structures, or memory allocator design - and you want to apply those ideas to a system handling millions of operations per second at cloud scale - this team is where you belong. We build the engine behind Amazon MemoryDB, the only Valkey-compatible database that delivers in-memory speed with Multi-AZ durability. We're not just running an open-source cache; we're extending Valkey with novel capabilities - durable replication, active-active conflict resolution, full-text and vector search - while maintaining the sub-millisecond latencies our customers depend on. Our customers include Disney+, Snap, Zoom, Lyft, Airbnb, and hundreds of thousands of other AWS customers who trust us with their most performance-critical workloads. You'll work in C/C++ at the lowest levels of the stack, solving problems in memory management, I/O optimization, replication protocols, and distributed data systems - all in production at massive scale. Key job responsibilities As a Software Development Engineer on the

Sr. Machine Learning Engineer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago

Sr. Product Manager Tech, Product Quality Seattle, Washington, USA We are on a mission to ensure every customer trusts every purchase to be authentic. The Product Quality team builds the technology and AI-powered solutions that prevent counterfeit products from reaching customers across Amazon's worldwide stores, protecting both customers and the selling partners who build their businesses on our platform. As a Senior Product Manager-Tech for Counterfeit Prevention, you will own the end-to-end product strategy for proactively detecting and preventing counterfeit activity before it impacts the customer experience. You will define the vision and technical roadmap for solutions that identify counterfeit signals across diverse and evolving sources and integrate these capabilities into treatment mechanisms that create robust barriers for bad actors while maintaining a frictionless experience for trustworthy selling partners. You will partner closely with cross-functional teams spanning risk management, science, engineering, and analytics to define problems, prioritize features, and deliver solutions. This is a unique opportunity to work at the intersection of AI, trust and safety, and customer experience, building products with the ambitious goal of eliminating counterfeits from Amazon. Key job responsibilities • Develop deep subject matter expertise in counterfeit vectors and the evolving tactics used by bad actors, and build the framework to classify counterfeit risk signals in a structured manner that supports optimal downstream actions • Define the 3-5 year product vision and roadmap for counterfeit prevention that scales with evolving counterfeit threats and delivers speed and operational efficiency through AI and automation • Build AI-powered detection

Sr Machine Learning Scientist 3 Locations posted: Posted 11 Days Ago

Technical Program Manager, Generative AI Safety Singapore A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Lead complex, multi-quarter initiatives to expand our content safety infrastructure. Manage ambiguous issues, such as integrating specialized safety classifiers or building rapid response capabilities for AI abuse vectors. Partner with cross-functional leaders to convert emerging threat intelligence and safety objectives into scalable, production-ready models and technical protections within our serving stack. Orchestrate the strategy and execution of our Safety

Software Development Engineer - Adobe Analytics Bucharest posted: Posted 23 Days Ago

SDE II, Amazon India Ads Bengaluru, Karnataka, IND If you are excited by the opportunity to build highly innovative, scalable, high-performance, and low-latency solutions at the intersection of digital advertising and AI/ML, this may be the right career move for you. Be part of an innovative and passionate team leveraging generative AI, large language models, and advanced machine learning to build a successful, sustainable, and strategic international advertising business for Amazon, from the ground up. Key job responsibilities You will design and build large-scale ML infrastructure for online recommendation, ads ranking, personalization, and search - including integrating generative AI and LLM-based approaches to improve ad relevance and customer experience. You will work with modern AI/ML and Big Data technologies such as AWS (SageMaker, Bedrock, EMR), Spark, PyTorch/TensorFlow, vector databases, LLM serving frameworks, and real-time inference pipelines. You will drive appropriate technology choices for the business - evaluating when to apply traditional ML vs. foundation models, leading continuous innovation, and shaping the future of India Advertising. You will follow and contribute to the technical direction of our offerings and solutions, working across the India Advertising organization with many different technologies including LLM orchestration, RAG pipelines, and agentic systems. You will code, troubleshoot, and support high-volume, low-latency distributed systems - including ML model serving and real-time feature stores. What you create is also what you own. You will participate in implementing key functional areas of the customer experience, including AI-powered advertising products, website applications, and platform services. You will work with the

Sr Applied Scientist, Generative AI/ML Seattle posted: Posted 24 Days Ago

Senior Security Engineer, AWS Marketplace , AWS Marketplace Denver, Colorado, USA Application deadline: Jun 15, 2026 This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. AWS Marketplace within ASP is a curated digital catalog where customers find, buy, deploy, and manage third-party software, data, and services to build solutions and run their businesses. Every listing represents a trust relationship between AWS, an independent software vendor, and the customer - and security is what makes that trust possible. We're looking for a Senior Security Engineer to own security for the third-party (3P) catalog. You'll set the bar for how 3P software is vetted, monitored, and protected across its lifecycle on Marketplace, and dive deep into emerging threat vectors to protect our customers. You'll also partner closely with our Application Security and Engineering teams to ensure the features we build on AWS Marketplace meet AWS's high security bar and continue to protect our customers. This role has high visibility, broad scope, and direct impact on millions of AWS customers. Key job responsibilities - Own the security strategy for the AWS Marketplace 3P catalog, including ingestion, scanning, vulnerability management, and ongoing posture

Senior AI/ML Applications Architect Markham posted: Posted 9 Days Ago

Application Security Engineer, Proactive Security Seattle, Washington, USA The Application Security (AppSec) Security Engineer is responsible for conducting security assessments and reviews of applications and services to identify vulnerabilities and ensure adherence to security standards. This role works under the guidance of senior engineers to evaluate system designs, perform threat modeling, and validate that services meet the organization's security bar before launch. Key job responsibilities Security Reviews: Conduct security design reviews for new and existing services, evaluating architecture documents, threat models, and system designs for potential security risks Threat Modeling: Perform threat modeling exercises to identify attack vectors, security weaknesses, and areas of concern in application architectures Penetration Testing: Execute or coordinate penetration testing activities to validate security controls and identify exploitable vulnerabilities Finding Management: Document, track, and communicate security findings to service teams, providing clear remediation guidance and verifying fixes Security Guidance: Provide security consultation to development teams on secure coding practices, authentication/authorization mechanisms, cryptographic implementations, and data protection strategies Escalation Support: Identify and escalate high-severity security issues through appropriate channels, ensuring timely remediation aligned with launch timelines Documentation: Maintain clear and thorough documentation of review outcomes, security decisions, and risk assessments Tool Utilization: Leverage automated security scanning tools and internal security platforms to support review activities and improve efficiency About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't

AI/ML Data Scientist (GPSSC)

Senior Threat Assessment Engineer California - San Francisco; Washington - Seattle Overview of the Role: As a Senior Threat Assessment Engineer on the Environmental Threat Assessment team, you will utilize the threat (and detection/response) perspective to lead independent assessments into new M&As, major product releases, incident uplifts, etc to identify and mitigate exploitable vectors. You will collaborate with peers across intelligence, detection, and response functions to drive uplifts and scale our capabilities through automation and "agentic" security investments. Your work will directly shape Salesforce's security posture by translating technical research into actionable requirements for Product & Enterprise Security partners and Product/Engineering stakeholders. Responsibilities: Conducting threat modeling for infrastructure and application-level threat scenarios, including security architecture and interactions, and new products/features from a realized threat and “outside-in” perspective. Create onboarding strategy of all new M&As into Cyber Security Operations across assessments, log prioritization and onboarding, and detection and security tool validation. Utilizing threat intelligence, incident response data, detection and logging metrics, and visibility from proprietary security tooling to conduct and correlate research. Assessing cloud security controls and cloud architecture implementations across current businesses and future business units, primarily across AWS, GCP, and Azure substrates. Analyzing logs from endpoint, network, and other security tooling to identify potential gaps in coverage or hunting for bypassing of existing controls. Engaging executive stakeholders across the company to translate assessments into actionable recommendations that shape the business and our products. Providing strategic and tactical applied threat insights to Security and leadership stakeholders by contextualizing intelligence in

Software Development Engineer Bucharest posted: Posted 30+ Days Ago

Agentforce Community Lead & Sr. Technical Architect California - Remote; Washington - Remote; New York - Remote; Colorado - Remote The Agentforce Community Lead and Senior Technical Architect is a recognized expert and demonstrated thought leader in the technical and functional application of Agentforce for enterprise customer engagements. This role significantly influences the successful architecture and delivery of complex Agentforce projects, while driving expertise, knowledge sharing, and community growth within the CSG Professional Services team. This senior-level position sits within CSG Professional Services, on the Data Excellence team. Its functions are split equally between delivery and internal employee enablement, whereby half of the role is customer-facing and involves serving Salesforce's enterprise Agentforce customers as a technical advisor, and the other half is spent on enabling CSG employees on Agentforce by providing technical expertise; documenting reference architecture; building reusable tools, assets, and patterns; running live enablement sessions; and providing from-the-field feedback (Voice of the Customer) to the Product and Engineering organizations to contribute to product enhancements. KEY RESPONSIBILITIES Community Strategy & Growth: Develop and execute a strategy to build, grow, and foster a vibrant community of Agentforce practitioners within Professional Services. Customer Project Delivery: Spend approximately 50% of the time as a billable individual contributor on strategic Professional Services customer engagements, leveraging deep Agentforce expertise to design and implement solutions. Enablement Content & Delivery: Create and maintain an evolving library of enablement content, including documentation, guides, templates, and reusable assets related to Agentforce solution design, implementation patterns, and recommended approaches. Training

Applied Scientist II, Perimeter Protection Applied Science Seattle, Washington, USA Join the AWS Perimeter Protection team as an Applied Scientist, where you will design and build AI/ML models that protect AWS customers from cyber threats at massive scale. You will work on challenging problems in threat detection, bot management, DDoS protection, and web application security - developing and deploying machine learning solutions that leverage techniques including large language models, generative AI, and agentic AI systems. Operating across all AWS regions and processing trillions of requests per week, you will collaborate with experienced scientists and engineers to deliver production-grade, intelligent security systems that provide robust, adaptive, and forward-looking protection for AWS customers worldwide. Key job responsibilities - Design, develop, and evaluate ML models and algorithms for threat detection, anomaly detection, and mitigation of evolving cyber threats including DDoS attacks, bot activity, and web application exploits. - Explore and apply large language models, generative AI, and agentic AI approaches to security challenges such as automated threat analysis, intelligent mitigation, and adaptive defense systems. - Implement end-to-end ML solutions - from data exploration and feature engineering through model training, evaluation, and deployment into production systems. - Analyze large-scale datasets to uncover patterns, identify emerging threat vectors, and translate findings into effective ML-based security solutions. - Build and maintain data pipelines and model training workflows that support rapid experimentation and reliable production performance. - Collaborate with software engineers to integrate ML models into low-latency, high-throughput security systems at cloud scale. - Design and run

Principal Engineer - AI/ML - Computer Vision Bengaluru, India posted: Posted 30+ Days Ago

Head of BD and Partnerships, US Global Selling Team Seattle, Washington, USA This is category-defining, flywheel-accelerating, process-transforming work-and we're looking for leaders who are energized by that ambition. You will own and drive the end-to-end partnership, marketing and business development strategy for the USGS team-shaping how we tell our story, amplify our impact, and unlock new growth vectors for US-based Sellers expanding globally. You will own and drive both the short-term tactical roadmap and the long-term strategic vision for USGS marketing and partnership efforts, establishing measurable KPIs and success metrics that demonstrate clear business impact and progress toward our mission of making US selection accessible to Amazon customers worldwide. You will be responsible for building and managing OPEX budgets across all marketing initiatives, making data-driven investment decisions and partnering with USGS leadership to secure approvals that fuel scalable growth. You will build and cultivate high-trust, high-impact relationships with Amazon internal and external stakeholders-serving as the bridge between teams, partners, and executive sponsors who collectively accelerate our global selling flywheel. You will partner strategically with Amazon.Com 3P executive leadership and other seller-facing organizations across Amazon to identify synergies, join forces, and leverage existing events, marketing channels, and PR platforms to create outsized awareness about global selling opportunities for US-based Sellers. You will ensure the USGS team's wins, innovations, and customer impact are visible to the wider Amazon leadership through mechanisms like monthly leadership newsletters, executive briefings, and storytelling that inspires action. As the "Voice of the Team," your work will shape