Vector jobs

Senior or Staff AI Infrastructure Engineer North America | Remote BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The AI Engineering Team is chartered with enabling next-generation AI applications, with a special focus on Large Language Models (LLMs) and agentic systems. Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale. We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We're also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space - including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM's ability to innovate faster than the market. As a Senior or Staff AI Infrastructure Engineer, you'll be at the core of building and scaling the technical infrastructure for AI/ML systems. You will: - Build reusable CI/CD workflows for model training, evaluation, and deployment - integrating Langfuse, GitHub Actions, and experiment tracking, etc. - Automate model versioning, approval workflows, and compliance checks across environments. - Build out a modular and scalable AI infrastructure stack - including vector databases, feature stores, model registries, and observability tooling. - Partner with engineering and

Sr. Customer Terminal System Engineer , Leo Customer Terminal Redmond, Washington, USA Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. Key job responsibilities As a Sr. CT System Engineer, you will be responsible for Customer Terminal (CT) integration and validation with hardware, software, and firmware. You will be working in a collaborative environment with a multi-disciplinary team. In this role, your responsibilities include: • Develop the CT architecture by working closely with sub-system engineers in electrical, RF, antenna, thermal, modem, DSP, ASIC, algorithm, firmware, modeling, and software • Design tradeoffs of various CT architectures including RF and performance simulation to support tradeoff decisions • Develop, maintain, and support customer terminal validation hardware, lab, and software • Proactively engage with internal and external development partners on Systems' hardware and software architectures and implementation • Ensure delivered work meets technical, functional, performance, regulatory and business requirements • Perform in-field and on-orbit validation with satellites • Traveling up to 10% of the time, depending on project phases Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current

Staff Computer Vision AI/ML Engineer 2 Locations posted: Posted 10 Days Ago

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

Senior or Staff ML Systems Engineer, LLMs North America | Remote BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The AI Engineering Team is chartered with enabling next-generation AI applications, with a special focus on Large Language Models (LLMs) and agentic systems. Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale. We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We're also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space - including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM's ability to innovate faster than the market. As a Senior or Staff ML Systems Engineer - LLM, you'll be at the core of building and scaling the technical infrastructure for AI/ML systems. You will: - Build reusable CI/CD workflows for model training, evaluation, and deployment - integrating Langfuse, GitHub Actions, and experiment tracking, etc. - Automate model versioning, approval workflows, and compliance checks across environments. - Build out a modular and scalable AI infrastructure stack - including vector databases, feature stores, model registries, and observability tooling. - Partner

AI Research Scientist - Algorithm Chennai,IND posted: Posted Today

Manager, Propulsion (Engine) (R5086) Dallas, Texas Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a Manager of Propulsion to lead the development and execution of engine and thrust vector control (TVC) systems for the X-BAT vehicle, powered by a fighter-class, afterburning jet engine. This role leads a team of propulsion engineers and technicians responsible for developing, integrating, testing, and operating flight-critical propulsion hardware from concept through flight and operational deployment. You will work closely with propulsion Responsible Engineers (REs), controls, airframe, flight test, manufacturing, and leadership teams to ensure engine and TVC development aligns with vehicle-level objectives, mission requirements, and program milestones. This role requires strong technical leadership, hands-on engagement, and the ability to drive execution in a fast-paced aerospace development environment. Job Description: We are seeking a Manager of Propulsion to lead the development and execution of engine and thrust vector control (TVC) systems for the X-BAT vehicle, powered by a fighter-class, afterburning jet engine. This role leads a team of propulsion engineers and technicians responsible for developing, integrating, testing, and operating flight-critical propulsion hardware from concept through flight and operational deployment. You will work

Senior Machine Learning Engineer Remote ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. About the Applied AI Team The Applied AI team builds the intelligence layer that sits between ZoomInfo's high-quality data and the application and agentic layer through which customers engage. Using a product-led growth model, this team leverages customer engagement as input to build better recommendations, scoring, classification, and generative models. What you'll do: Recommendation system - Build large scale recommendation systems utilizing embeddings generated for structured and unstructured data using methods such as a two tower architecture - Performant recommendation designs which can scale to millions of recommendations per day for different product features - Utilize graph based structures, search and scoring to enhance recommendation quality Advanced NLP & Embedding Systems - Fine-tune (LORA/PEFT), customize and deploy embedding models (LLMs/SLMs) for multi-language text understanding and semantic search - Architect vector search solutions that enable language-agnostic clustering and classification across global datasets - Build and optimize high-performance retrieval systems using vector databases MLOps Lifecycle Management: - Architect and manage scalable MLOps and LLMOps infrastructure for robust model training, evaluation, deployment, and monitoring systems. - Design comprehensive CI/CD pipelines, implement model monitoring frameworks to identify drift patterns, and ensure high availability

Senior AI Engineer Senior AI Engineer

Staff Engineer - DFT Singapore Company Overview Ambiq is on a mission to enable intelligence everywhere - powering the AI edge revolution with the world's lowest-power semiconductor solutions. Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 290 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications. Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology. We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency. At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve. If that's you, join us - the intelligence everywhere revolution starts here. Responsibilities Responsible for scan insertion, boundary scan, MBIST, ATPG for ultra-low power SoC based on subthreshold operation using standard EDA tools. Develop and implement low-power DFT architecture and infrastructure. Generate structural test vectors, analyse, and improve coverage, test time and test cost. Perform pre/post-layout scan and MBIST simulations. Work with designers on STA, physical, power and logical issues related to DFT. Work with test engineers to bring up test vectors on silicon. Qualifications BS/MS in ECE/EE and at least 10 years of experience in DFT implementation. Skilled in different types of DFT structures, including

Staff Machine Learning Engineer Boise, ID - Main Site posted: Posted 10 Days Ago

Staff MLOps Engineer, LLMOps North America | Remote BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The AI Engineering Team is chartered with enabling next-generation AI applications, with a special focus on Large Language Models (LLMs) and agentic systems. Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale. We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We're also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space - including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM's ability to innovate faster than the market. As a Staff MLOps Engineer with a focus in LLMOps, you'll be at the core of building and scaling the technical infrastructure for AI/ML systems. You will: - Build reusable CI/CD workflows for model training, evaluation, and deployment - integrating Langfuse, GitHub Actions, and experiment tracking, etc. - Automate model versioning, approval workflows, and compliance checks across environments. - Build out a modular and scalable AI infrastructure stack - including vector databases, feature stores, model registries, and observability tooling. - Partner with engineering and

Machine Learning Data Scientist 2 Locations posted: Posted 10 Days Ago

Senior MLOps Engineer Remote, UK Senior MLOps Engineer The Role As a Senior MLOps Engineer, you will be the backbone of our AI production lifecycle. You will bridge the gap between research and real-world application, ensuring our Data Scientist, AI Researchers, Product teams and others in the company have the high-performance infrastructure, automated pipelines, and deployment strategies needed to ship state-of-the-art models and agents at scale. Who We're Looking For 5+ years experience with cloud infrastructure and infrastructure as code. Previous experience with the ML and LLM lifecycle - training, hosting, optimisation, observability. Used to working closely with researchers and data scientists - taking experiments from worksheets into production. Strong grasp of ML fundamentals and modern GenAI stack. What You'll be Doing Infrastructure & Platform Engineering Infrastructure as Code (IaC): Design and maintain scalable cloud environments (GCP/AWS) using Terraform. Resource Provisioning: Manage GPU/TPU resource allocation for training, fine-tuning, and interactive notebooks. Custom Tooling: Build internal services and CLI tools to streamline the developer experience for the AI team. ML & LLM Orchestration & Observability Automated Pipelines: Design CI/CD and training pipelines using tools such as GitHub Actions, MLFlow, Vertex AI Pipelines. Ensure high quality training data (e.g. introducing a feature store). Deployment Methodology: Develop reusable patterns for model serving. Managing service deployments to Kubernetes. Vector Infrastructure: Manage and optimize vector databases and embedding pipelines for RAG-based systems. Observability and Reliability: Model drift monitoring, resource utilisation, LLM and agent tracing. Performance & Optimization Inference Optimization: Implement techniques to reduce latency and

ML Platform Engineer Sunnyvale, United States of America We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for highly motivated and skilled Machine Learning Platform Engineers to join our team in the VCV group and help us enable that potential for realtime human understanding on Apple devices. The VCV org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life. Join us to build the infrastructure, MLOps platforms, and deployment systems that power Apple's next generation of intelligent products and experiences. As part of the VCV team, you will build and maintain the critical infrastructure that enables machine learning at scale across Apple's products. You will work on infrastructure, MLOps, cloud and on-device deployment systems, and data engineering platforms that support our ML development lifecycle. You will be responsible for building and maintaining scalable machine learning infrastructure for training, evaluation, and deployment of computer vision and multimodal models. You will develop MLOps platforms and tools that streamline the ML development lifecycle from data ingestion to model deployment, create robust data pipelines

Member of Technical Staff (Software Engineer, Storage Platform) San Francisco, California, United States, New York City, Palo Alto About the Role The Storage Platform team owns the infrastructure that powers how Perplexity persists, retrieves, and manages data across all systems, ensuring high availability, performance, and cost-efficiency for every product and AI workload. This foundational, high-impact group is responsible for the full spectrum of storage technologies - relational databases, vector databases, custom storage implementations, and the tooling to provision, monitor, and optimize them at scale. By building robust abstractions and operational excellence around storage, the team enables engineers across Perplexity to focus on product innovation while trusting that data is fast, reliable, and always accessible. Key Responsibilities - Design, operate, and continuously improve the storage platform that underpins all Perplexity products and AI workloads, including relational, NoSQL, and vector databases. - Own reliability, performance, and availability SLOs for stateful systems, driving root cause analysis and long‑term fixes for storage‑related incidents. - Define and evolve opinionated storage abstractions, APIs, and tooling that make it simple and safe for product teams to consume storage at scale. - Partner with AI, infra, and product teams to design data models and access patterns that meet low‑latency, high‑throughput, and cost‑efficiency requirements. - Lead capacity planning, benchmarking, and lifecycle management for storage clusters, including scaling, migrations, and deprecations. Qualifications - 5+ years of experience building and operating large‑scale backend or infrastructure systems in production. - Deep hands‑on experience with at least one major database technology (for example,

Senior AI/ML Engineer 2 Locations posted: Posted Today

Sr. AI Specialist SA SGP Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. You will craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing an entirely new cloud-based system. SSAs play a critical role in capturing customer feedback, advocating roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field. This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. Key job responsibilities - The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. - You'll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects. - Internally, you will be the voice

Senior Python Engineer - AI/ML Systems Yerevan WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as

Sr DFT Engineer (eInfochips Inc) San Jose, California (Cisco) Position: Sr DFT Engineer (eInfochips Inc) Job Description: What You'll Be Doing: Design and implement DFT, including scan, MBIST, ATPG, Sims, Post-Si diagnosis at block and SoC level Verify test patterns using gate-level simulations. Collaborate closely with Synthesis, STA and physical design to debug and resolve DFT-related problems. Work in partnership with test engineers to bring up test vectors on silicon and ensure successful testing. What We Are Looking For: Strong understanding of industry standards and best practices in DFT - Scan, ATPG, JTAG, and MBIST. Proven experience in developing DFT specifications and architectures for complex designs. Expertise in debugging DFT issues, including ATPG patterns, MBIST implementations, coverage analysis, and more. Proficiency in Siemens-Tessent, Synopsys for DFT implementation, vector generation, and verification. Ability to conduct experiments during silicon debug, effectively gather and analyze data to identify root causes. Efficient scripting skills using TCL for automating tasks and developing custom flows. What's In It for You: At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That's why we offer competitive financial compensation, including various compensation plans and a solid benefits package. Medical, Dental, Vision Insurance 401k, With Matching Contributions Short-Term/Long-Term Disability Insurance Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options Paid Time Off (including sick, holiday, vacation, etc.) Tuition Reimbursement Growth Opportunities And more! Work Arrangement Fully OnSite: Must be able to travel to an Arrow Client office location as requested by Arrow Client

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

Students & Graduate Opportunities Student & Graduate Programs Skip to content Products & Software Industries Support Company Contact Us Our Businesses Automation Systems Discrete Automation Final Control Measurement Instrumentation Test & Measurement PRODUCTS & SOFTWARE Asset Performance Management Distributed Control Systems Manufacturing Execution Systems Safety Instrumented Systems SCADA Systems BRANDS AMS DeltaV Guardian Ovation™ PRODUCTS & SOFTWARE Control Power Solutions Electrical & Lighting Electrical Actuators & Drives Feeding Handling Industrial Hardware Industrial Sensors & Switches Industrial Software Marine Controls Pneumatics Pressure Regulators Valves BRANDS ASCO AVENTICS Movicon PACSystems TESCOM Topworx PRODUCTS & SOFTWARE Actuators Regulators Valve Software Valve, Actuator & Regulator Instrumentation Valves View All Products FEATURED SOLUTIONS Blue Hydrogen Valves Common Applications Fugitive Emissions LNG Valves Mining & Metals Nuclear Valves Power Generation Tank Storage View All Solutions BRANDS Bettis Fisher Vanessa View All Brands INSTRUMENTS Corrosion & Erosion Monitoring Density & Viscosity Flame & Gas Detection Flow Measurement Gas Analysis Industrial Wireless Technology Level Measurement Liquid Analysis Pressure Measurement Temperature Measurement SYSTEMS & SOLUTIONS CEMS Marine Solutions Process Gas Analytical Systems Process Liquid Analytical Systems Tank Gauging Systems View All Systems & Solutions BRANDS Flexim Micro Motion Plantweb Insight Rosemount Roxar View All Emerson Brands PRODUCTS Digital Multimeters GPIB & Instrument Control LCR Meters NI Data Acquisition NI Software NI Vector Signal Analyzers NI Vector Signal Transceivers Oscilloscopes and Digitizers Software Defined Radios Source Measure Units Switches BRANDS NI CompactDAQ NI CompactRIO NI FlexRIO NI LabVIEW NI PXI NI SystemLink Academic & Research Electronics & Semiconductors Marine Power

On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for on-device machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models on resource-constrained devices and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents an incredible opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking an ML Infrastructure Engineer with a specific focus on graph compilers and runtimes. If you are a highly motivated software engineer who is creative, versatile, and passionate about machine learning operator primitives, common compiler optimizations, runtimes, and system software engineering in the fast-paced and dynamic