Adaptive jobs

Solutions Engineer London, England | Hybrid | Remote About Us Permutive is the data collaboration platform that powers the advertising ecosystem. We exist to build an advertising ecosystem that respects and adapts to consumers' choices around their privacy, and in doing so unlocks enormous uplifts in scale and outcomes for publishers and advertisers alike. Trusted by 60% of Enterprise Media Companies across the US, EMEA, and LATAM, we work with leaders such as News Corp, Warner Bros Discovery, Hearst, Conde Nast, dmg media, BuzzFeed, and The Guardian. Our technology enables them to drive >$1B in advertising spend across hundreds of millions of users without compromising user privacy. Permutive works with many of the largest Advertisers, enabling them to collaborate with Publishers to triple their audience reach and drive a doubling in incremental sales, including with advertisers such as Sky, Dentsu and Apple. We leverage patented edge technology, AI and cloud collaboration to safely process data where it is, and our platform combines privacy-safe DMP, data clean room, and curation capabilities to unlock unmatched scale and precision for publishers, advertisers, agencies, and retail media networks. At Permutive, You'll Help Our Customers: - Achieve Better Outcomes: Leverage our unique position in the ad tech ecosystem to access broader audiences and improve outcomes. - Boost Sales Significantly: Capitalize on 100% addressability to connect with the 70% of audiences beyond traditional cookies. - Transform Collaboration Efficiency: Move from lengthy processes to seamless collaboration in minutes. Join us as a key player in shaping the

Innovation AI Engineer Madrid, Spain

Sr. Workday Application Analyst, Finance & Adaptive, Grocery Tech Business Operations & Program Management Austin, Texas, USA Join our dynamic team as a Sr. Workday Application Analyst, delivering technical expertise in Workday Finance and Adaptive for Amazon's subsidiary Whole Foods Market. This role blends financial systems knowledge with hands-on technical skills to optimize system performance, maintain operational excellence, and ensure seamless functionality across hybrid cloud and on-premises environments. You'll leverage your deep understanding of financial concepts-including Ledger Accounts, Cost Centers, Journal Entries, Account Posting Rules, Costing Allocations, Bank Reconciliations, and Accounts Payable-to design solutions, execute testing, and maintain system integrity while supporting both day-to-day operations and strategic enhancement initiatives. Key job responsibilities Technical System Management - Design, configure, and maintain Workday Finance and Adaptive modules, ensuring optimal system performance and alignment with business requirements. - Provide technical expertise in financial system architecture. - Troubleshoot and resolve complex technical issues related to Workday Finance functionality. - Monitor system performance metrics and implement proactive measures to maintain high availability and user satisfaction. Financial Systems Expertise - Configure and maintain core financial components including Ledger Accounts, Cost Centers, Journal Entries, and Account Posting Rules. - Manage Accounts Payable configurations and workflows within Workday. - Ensure financial data integrity and compliance with accounting standards and internal controls. Requirements Gathering & Solution Design. - Translate business needs into technical specifications and system configurations. - Design scalable solutions that leverage Workday Finance and Adaptive capabilities. - Evaluate system enhancement requests and provide recommendations on feasibility and

Machine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago

Bioengineer / Molecular Biologist Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hands-on research role in our biology and production team. You'll work on the science that underpins everything Adaptyv does: developing and optimizing protein expression systems, running molecular biology workflows, and pushing the boundaries of what we can produce and characterize at scale. We express proteins at high volume across cell-free and cell-based systems, run DNA synthesis and

Sr. Account Executive, Adapt, Amazon Ads GBR Adapt is seeking a Sr. Account Executive to join our European team. This is a permanent position based out of London/Remote, with travel to customers across EU5 expected up to 50% of the time. Amazon Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions - including Prime Video Ads, Twitch, and Fire TV - leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place. This role sits within the Adapt team - a pioneering team that's redefining how we approach customer business. Different from traditional teams within Amazon Ads, Adapt combines human expertise with AI-enhanced analytics to revolutionise business continuity and growth. Our team members are agile professionals who thrive on variety, rotating across multiple strategic assignments to address business-critical needs in teams. This innovative model accelerates professional growth through diverse exposure to multiple facets of Amazon Ads, while leveraging technology to enhance customer value delivery. This role will be highly agile and fungible, and will

Associate Director, Product Manager - Workforce Adaptive Planning austin, Texas, United States of America Date Posted. 2026-06-01Country. United States of AmericaLocation. US-TX-REMOTEPosition Role Type. Unspecified. U.S. Citizen, U.S. Person, or Immigration Status Requirements. U.S. citizenship is requir...

Benefits AMD Employee Benefits and Total Rewards Skip to main content AMD Website Accessibility Statement Products Processors Accelerators Graphics Adaptive SoCs, FPGAs, & SOMs Software, Tools, & Apps Processors Server CPUs EPYC CPU Portfolio Data Center, Cloud & AI Small Business & Hosting Server CPU Specifications Business Systems Ryzen PRO Laptops Ryzen PRO Desktops Workstations PRO Technologies Ryzen AI for Business Personal & Gaming Ryzen Laptops Ryzen Desktops Advantage Gaming Laptops Advantage Gaming Desktops Ryzen Z Series Handhelds Ryzen AI for Consumer Embedded EPYC and Ryzen Partner Ecosystem Resources Product Specifications Enterprise Blogs & Insights Accelerators GPU Accelerators Instinct GPUs Documentation Cloud Graphics Adaptive Accelerators Alveo Data Center Accelerator Cards Telco Accelerator Cards DPU Accelerators Pensando Salina Ethernet Adapters Pensando Pollara 400 Alveo X3 Series Solarflare Adapters Graphics Workstations Radeon PRO Desktops AMD Advantage Premium Radeon RX Laptops AMD Advantage Premium Radeon Mobile Graphics Resources Product Specifications Documentation Adaptive SoCs, FPGAs, & SOMs Adaptive SoCs & FPGAs Versal Portfolio SoC Portfolio FPGA Portfolio Cost-Optimized Portfolio System-on-Modules (SOMs) SOM Overview Kria SOMs KD240 Drives Starter Kit KV260 Vision AI Starter Kit KR260 Robotics Starter Kit Technologies AI Engine Design Security Digital Signal Processing Functional Safety High Speed Serial Memory Solutions Power Efficiency Resources Intellectual Property Design Hubs Developer Hub Customer Training Evaluation Boards & Kits Evaluation Boards Boards & Kits Accessories Software, Tools, & Apps Processor Tools Ryzen Master Overclocking Utility PRO Technologies StoreMI Ryzen AI Software Zen Software Studio Graphics Tools & Apps AMD Software: Adrenalin Edition AMD Software: PRO

Student Programs AMD Student Programs | AI and Engineering Internships Skip to main content AMD Website Accessibility Statement Products Processors Accelerators Graphics Adaptive SoCs, FPGAs, & SOMs Software, Tools, & Apps Processors Server CPUs EPYC CPU Portfolio Data Center, Cloud & AI Small Business & Hosting Server CPU Specifications Business Systems Ryzen PRO Laptops Ryzen PRO Desktops Workstations PRO Technologies Ryzen AI for Business Personal & Gaming Ryzen Laptops Ryzen Desktops Advantage Gaming Laptops Advantage Gaming Desktops Ryzen Z Series Handhelds Ryzen AI for Consumer Embedded EPYC and Ryzen Partner Ecosystem Resources Product Specifications Enterprise Blogs & Insights Accelerators GPU Accelerators Instinct GPUs Documentation Cloud Graphics Adaptive Accelerators Alveo Data Center Accelerator Cards Telco Accelerator Cards DPU Accelerators Pensando Salina Ethernet Adapters Pensando Pollara 400 Alveo X3 Series Solarflare Adapters Graphics Workstations Radeon PRO Desktops AMD Advantage Premium Radeon RX Laptops AMD Advantage Premium Radeon Mobile Graphics Resources Product Specifications Documentation Adaptive SoCs, FPGAs, & SOMs Adaptive SoCs & FPGAs Versal Portfolio SoC Portfolio FPGA Portfolio Cost-Optimized Portfolio System-on-Modules (SOMs) SOM Overview Kria SOMs KD240 Drives Starter Kit KV260 Vision AI Starter Kit KR260 Robotics Starter Kit Technologies AI Engine Design Security Digital Signal Processing Functional Safety High Speed Serial Memory Solutions Power Efficiency Resources Intellectual Property Design Hubs Developer Hub Customer Training Evaluation Boards & Kits Evaluation Boards Boards & Kits Accessories Software, Tools, & Apps Processor Tools Ryzen Master Overclocking Utility PRO Technologies StoreMI Ryzen AI Software Zen Software Studio Graphics Tools & Apps AMD Software: Adrenalin Edition

Machine Learning Engineer Burnaby, British Columbia, Canada Burnaby, British Columbia, Canada

Senior AI/ML Engineer: Python & Scientific Computing San Francisco About Swayable Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections). Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world's most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs Technology stack Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL. About the role Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our tools, techniques,

Applied Sciences Manager , Ads Brand Safety and Suitability London, England, GBR Amazon Ads Brand Safety & Suitability protects advertisers from exposure to unsafe, unsuitable, or policy-violating content across web, mobile app, CTV, and audio advertising inventory. Our mission is to ensure that every ad impression delivered through Amazon's demand-side platform appears adjacent to content that meets advertiser trust expectations while giving brands granular controls to define suitability on their own terms. We operate at the intersection of advertiser trust, publisher quality, and supply integrity. AI is fundamentally changing the content landscape. Content is now generated at unprecedented scale - faster, cheaper, and increasingly sophisticated. Low-quality, deceptive, AI-generated, and synthetic content evolves in real time, constantly adapting to evade detection. The volume and velocity of new content entering the advertising system has outpaced traditional classification approaches. We are looking for an Applied Science Manager to lead the next generation of AI-powered Brand Safety and Content Classification systems designed to protect advertisers and elevate supply quality at internet scale. This is not a traditional classification problem. Your team will build systems that make millisecond-level decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science roadmap for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated and synthetic content detection, and large-scale abusive content system identification and disruption. You will define how modern AI separates high-quality

PhD GenAI Research Scientist Intern San Francisco, California Company Description: At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Job description: Most of the world's data+AI problems lie in enterprise domains, behind closed doors. Our research team's goal is to push the frontier of "domain adaptation" - how can we develop LLMs and AI systems that work well for custom domains. To do this we are tackling open research problems on a range of topics, from how to scale/automate eval, fine tune with synthetic data, retrieval augmentation, fast/efficient inference and more. You will work with our research team on projects focused on adapting LLMs and AI systems towards enterprise domains. This may include: - Adapting, improving, and evaluating a method from the literature. - Designing an entirely new method for domain adaptation. - Composing together multiple

Technical Cofounder San Francisco, California Sandfox | Technical Cofounder Location: San Francisco Bay Area Format: In-office 4 days a week with flexibility for the occasional remote days The Mission Sandfox is building an adaptive buyer-led discovery platform for enterprise B2B. Our vision is a world where every business interaction adapts to buyer context, where companies understand what buyers are trying to accomplish and deliver the information, guidance, and experiences they need. Today, most B2B buying experiences are static. Websites, content hubs, and campaigns deliver the same experience regardless of who the buyer is or what they need. Sandfox transforms fragmented buyer data into structured intelligence that powers adaptive experiences, helping companies deliver relevance instead of noise. Sandfox is a portfolio company of super{set}, a venture studio that conceives, funds, and builds AI-native companies from formation through scale. We work alongside founders as operators, helping shape companies from day one. We're a small, early-stage team building something that doesn't exist yet in the market. The work is hands-on, the problems are difficult, and the opportunity to shape both product and company from the ground up is significant. Role We're looking for our first engineering hire: a Founding Engineer who will shape both the product and the technical foundation of Sandfox. You'll work directly with the founder to turn product vision into production software, establish engineering standards, and define how adaptive buyer experiences should work in practice. This role goes beyond engineering execution. We're building a new category of software where user

Machine Learning Engineer, Assessments San Francisco | Hybrid | Remote ABOUT US Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. ABOUT THIS ROLE We're hiring an ML Engineer, Assessments to help build best-in-class assessment systems across multiple products (Speak for Business, B2C, and new surfaces). You will work in a tight loop with our Assessment Design Lead (Content/Learning Design), Machine Learning, Product, and Engineering to turn assessment constructs and rubrics into reliable, scalable scoring + feedback systems. This role owns the implementation, deployment, and ongoing quality of our

Software Engineer, Backend Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're

Manager, FP&A - Workday Adaptive Planning London, United Kingdom Company Description We're Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you've come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech - and we're just getting started. Checkout.com is looking for a talented and driven individual to join our Corporate FP&A team. We are a fast-scaling international organisation where Corporate FP&A sits at the centre of the broader finance team, helping to drive overall business planning and supporting the CFO and senior finance leaders on cross-functional projects. The Role Reporting directly into the Director of Corporate FP&A , this is a critical and highly visible role. You will act as the Subject Matter Expert (SME) on Workday Adaptive Planning within the Finance function.

Staff Machine Learning Engineer – (ADAS/Autonomous Driving) Newark, CA Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. About Lucid At Lucid, we are redefining the luxury electric vehicle experience, combining cutting-edge technology with exceptional design to deliver intuitive, safe, and exhilarating mobility. Join our team and help shape the future of autonomous driving. The Role We are seeking a Staff Software Engineer to lead the integration and deployment of advanced perception models into Lucid's production ADAS and autonomous driving systems. This role focuses on productizing ML models , ensuring robust performance on automotive-grade hardware, and building scalable pipelines for deployment and validation. You will collaborate with ML researchers, perception engineers,

Business Development Representative (BDR) Boston, MA, United States What we do Adaptive is a rapidly growing vertical AI company of 50, building an AI-native ERP for real estate and construction. We have scaled to over 700 customers and have raised $26m from Emergence, a16z, and other top funds, as well as a collection of angels from companies like Brex, Ramp, Airbase, Square, and Shopify. Why join us? Power the local built environment We serve the small businesses that are building communities across our country. Your favorite local café, the new house on the corner, or the ADUs helping to solve the housing crisis were all built by our customers--those who have lived in their cities for their entire lives and have a true passion for their craft. These are creative, dynamic, skilled individuals who bring neighborhoods to life by conceiving of and constructing environments where people connect and build memories. Join a world-class team at the forefront of vertical AI We have built a culture rooted in collaboration, execution, and experience! We have deep backgrounds in finance, technology, and construction, and a fast-growing customer base. We have the momentum, team, and vision to win in this massive market. We'd love for you to join us. Role Summary You'll be responsible for identifying and qualifying net-new sales opportunities among the SMB construction community - specifically, general contractors, subcontractors and trades. Successful BDRs are results-driven, and possess excellent written and verbal communication skills, are passionate about their company and product, and can

Workday Finance Systems Manager London, England, United Kingdom By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com THE ROLE: The Finance Systems Manager manages a small team responsible for the day to day running of Workday Financials and Adaptive Planning. The role reports to the Group Finance Director within the Global Finance team. The role is responsible for the administration, maintenance and optimization of the Workday Financials and Adaptive Planning systems. The role works closely with IT to ensure the system meets business requirements and operates smoothly. Duties & Responsibilities - Manage and maintain Workday Financials and Adaptive Planning in a well-controlled and documented system environment - Lead the Finance Systems team, motivating team members and encouraging them to learn and develop through their work - Provide technical assistance for core financial processes - Build and maintain excellent working relationships with key members of the Finance team and other global stakeholders - Hold regular meetings with key stakeholders - Stay on top of Workday updates - Advise on system enhancements when appropriate for both Finance and the Business - Run pilots for new functionality/system changes utilizing Finance team members for key roles in the pilots - Optimise processes to achieve measurable outcomes - Roll out ways of working which facilitate user self service - Ensure system changes are communicated to

Senior Machine Learning Engineer, Personalization, Music Understanding New York, NY The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. You'll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to. This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide. The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. You'll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to. This

Dental Hygienist - Advanced Clinical Sheridan, Wyoming Summary Dental hygienists at this level are advanced-level practitioners in assigned areas. Higher-level duties consist of significant scope, complexity, and range of variety, and will be performed most of the hygienist's time. Serves as coordinator of the Dental Hygiene Student Program and provides hands-on clinical instruction to dental hygiene or dental assisting students during their clinic rotations, including all training required by the Sheridan College Dental Hygiene Program. Duties Performs comprehensive medical assessments and appropriate adaptation techniques to provide safe and effective periodontal care in severely compromised patients. Dental screenings independently outside of the dental clinic at inpatient residential areas and adapt treatment based on findings of medically/mentally/physically compromised patients. Uses more advanced adjunctive, diagnostic tools and techniques for monitoring clinical disease processes. Designs customized adaptive aids based on assessment of patients' abilities and disabilities. Manages advanced medical and behavioral risk factors for medically/mentally/physically compromised patients including indication of administration of adjunctive therapies Serves as member of relevant hospital committees and patient wellness programs. Provides oral/written tobacco cessation education and works with our tobacco cessation coordinator. Provides oral/written training protocols for the dental hygiene students. Provides oral health presentations to nursing staff, diabetic educators, and other disciplines. Sets up operatory for planned dental procedure and cleans dental unit for timely turnover. Handles instruments safely, accurately, and efficiently. Assesses clinical findings, including normal and critical lab results, and adapt care based on findings. Interviews patient and assesses patient's medical, dental, anxiety/phobias, medications and comorbidities.

Director of Engineering, Platform Evolution San Diego, CA, United States posted: Posted 15 Days Ago

SW Development Engineer, AWS Elastic Network Adapter Firmware team Haifa, Haifa, ISR Annapurna Labs, as part of Amazon Web Services (AWS), develops innovative hardware and software for AWS cloud customers. Annapurna Labs is like a big start-up in AWS. We develop cutting-edge technologies, work with amazingly talented engineers, and truly shape the future. Thanks to our teams' breadth of professional engineers, we have been able to improve AWS cloud networking infrastructure, with products such as Elastic Network Adapter (ENA), Elastic Fabric Adapter (EFA), and Scalable Reliable Datagram (SRD). Our products are at the heart of the cloud, playing a key role, and used by millions and millions of customers! Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience. As an ENA Firmware SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customer's needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As an ENA Firmware SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction. Basic Qualifications: - Bachelor's degree in computer science or electrical