Applied Intuition jobs

Sr Recruiter Malaysia Remote | Penang, MALAYSIA, Malaysia Company Description: At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Job Description: Primary Function of Position  The Recruiter is a critical driver of Intuitive continued growth and success in the medical robotics field. The Recruiter will partner closely with leadership teams and

Applied AI Research Engineer San Francisco, California, United States Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic. You'll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible. As an Applied AI Research Engineer, you'll dive deep into cutting-edge research, understand the business functions we put on autopilot inside-out, and execute targeted ML projects that deliver pure magic. What You'll Do: - Study the frontier: Track frontier work in traditional ML, LLMs, multimodal models, retrieval, and agentic systems-then distill it into ideas we can ship. - Identify high‑ROI projects: Partner with GTM and ops teams to spot bottlenecks in products; define ML projects that unlock significant leverage for customers. - Build targeted models: Own the full cycle-data curation, training, evaluation, and deployment-delivering systems that solve real customer pain points. - Productionize solutions: Integrate models into our real-time platform via robust APIs and streaming pipelines, ensuring model performance and guardrails from day one. - Self‑direct & ship: Operate like a founder-set technical roadmap, validate quickly, and iterate based on real-world results.

Sr. Machine Learning Engineer, AWS Applied AI Solution Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accelerate our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-the art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day - putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Senior Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment architectures. You'll bridge the gap between state-of-art research and customer-facing products, contribute to our collaborative and innovative culture, and deliver production-ready ML solutions that raise the bar for the entire team. What You'll Do • Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems • Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance • Establish scalable, efficient, automated

Applied AI Engineer

Senior Applied Research Engineer - Media Quality London We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. We are looking for a Senior Applied Research Engineer who brings deep research expertise and strong engineering skills across both audio and video. In this role, you will help advance how Spotify understands, evaluates, and improves media experiences across platforms. You'll work across the full media pipeline-from backend processing such as ingestion, encoding, and delivery to frontend playback, buffering, and synchronization-solving product problems with research discipline: structured experiments, solid metrics, and evidence-based decisions, in a real production environment. You'll join a team working at the intersection of media quality, perception, and engineering. The team builds applied solutions that improve how audio and video experiences perform across Spotify. By turning deep technical understanding into scalable capabilities, they help ensure a consistent, high-quality experience for hundreds of millions of users across devices and platforms. We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our

Senior Applied AI Scientist (AI Marketplace) Barcelona, Catalunya, Spain We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, AI isn't a feature - it's foundational. It powers how we connect millions of learners and tutors, personalise every interaction, and build a marketplace where meaningful learning thrives at global scale. The Applied AI team sits at the centre of this ecosystem. We design and deploy intelligent systems that drive real-time tutor-learner matchmaking across millions of sessions worldwide. Over time, we've evolved from traditional machine learning approaches into a modern AI-native marketplace - leveraging deep learning, advanced ranking and re-ranking architectures, and proprietary multimodal data including audio, video, and transcripts to deliver smarter recommendations and measurable learning outcomes. Our scope extends far

Front End Engineer II, Life Sciences Applied AI Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. AWS Life Sciences in Applied AI Solutions org is working on a new AI agent(s) application in the clinical trials domain. Clinical trials are the most time consuming and cost heavy step in bringing new drugs to market and we aim to automate and accelerate this process resulting in better health outcomes for patients. It's a new team with working a new product in an space that offers massive opportunity for AWS. Come be part of this 0->1 journey. We're building an end-user enterprise application (outside of console) that orchestrates multiple AI agents to streamline the entire clinical trial process, from planning, monitoring to FDA submission. The team operates like a startup where we work with early beta customers to iterate quickly. We are looking for entrepreneurial FEEs to work on humanAI Agent experiences working with product, design and science teams. As an enterprise user

Senior Applied Scientist, Personalization, Personalization Strategic Initiatives Science Tel Aviv-Yafo, Tel Aviv, ISR Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these questions and you will be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions that delight customers with personzlized content recommendations, at the right time, with the right level of explanation. As a Senior Applied Scientist in our team, you will lead the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems. Please visit https://www.amazon.science for more information. Basic Qualifications: - PhD in CS/EE or related field - 5+ years of applied research experience post PhD, building and launching deep learning/machine learning models for business applications - Strong CS foundations (data structures and algorithms) - Excellent coding and

Senior GTM Programs & Initiatives Lead, Applied AI Solutions Seattle, Washington, USA 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. Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon's unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers' businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We are seeking a technical program manager with deep AI expertise to join the Applied AI Solutions GTM team. This role will drive organizational effectiveness through hands-on development of AI-powered tools, automation, and knowledge systems that transform how our GTM organization operates. You will be the technical force multiplier for our team, building innovative solutions using Amazon QuickSight, Kiro, and other AI technologies to streamline processes, enhance account planning, and accelerate business growth. This role requires expertise in generative AI technologies, hands-on experience building with Amazon QuickSight (including knowledge spaces, flows, and Quick Pages), and the ability to translate business needs into technical solutions. You will own the

Applied AI Engineer San Francisco | OnSite We're inventing the future of B2B SaaS with AI agents. We're betting on language models and we're betting on scale. You'll test new models the day they come out and understand their characteristics better than their developers do. You'll manage our model alpha program with OpenAI, and work directly with their research and product teams to discover unknown capabilities in new models. You'll work directly with customers every day and have unusual influence over operations and policy-making at the world's biggest companies. Responsibilities - Turn language models into useful, functional, and beautiful products. - Scope and implement entirely novel applications of AI agents (adversarial webcrawling, weapons identification, red-teaming, ingredient extraction, etc.) - Architect and implement workflows that power SafetyKit's risk AI agents - Design and conduct rigorous experiments to evaluate models' relative strengths, weaknesses, and optimal use cases - Use codegen models to move 10x faster than you did two years ago About you - You love language models. - You have the patience to be rigorous. - You act like an owner in everything you do. - People tell you you pick things up unusually quickly. - You love the weird little details of life in our customer's companies. - You care about your work and you care about moving fast. A lot. - You know more than you need to know. You have an insatiable curiosity.

Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,

Applied Scientist, Alexa Edge AI Bengaluru, Karnataka, IND We are looking for a Senior Applied Scientist to help establish and lead the technical direction of our newly formed team in Bangalore. In this role, you will drive the research and development of next-generation machine learning models spanning computer vision, audio processing, and multimodal semantic understanding. You will help define the science roadmap, tackle high-ambiguity problems across modalities, and deliver solutions that operate at scale. This is a rare opportunity to shape the technical vision, culture, and long-term research agenda of a greenfield site. Key job responsibilities Model Development & Technical Leadership: Architect and drive development of advanced deep learning models for CV, audio understanding, and multimodal semantic fusion - setting the technical bar and defining best practices for the team. End-to-End Ownership: Own complex ML programs end-to-end - from identifying high-impact problems, designing data strategies and evaluation frameworks, through experimentation, optimization, and deployment at production scale. Research & Innovation: Define the science roadmap for your area; drive novel research directions in multimodal learning and deliver results that advance both the product and the broader field. Publications & Thought Leadership: Maintain an active publication record at top-tier venues (e.g. CVPR, NeurIPS, ICASSP, ICCV, ACL) and represent the team externally in the research community. Mentorship & Culture Building: Mentor scientists and engineers, raise the technical bar through hiring, and play a foundational role in establishing the Bangalore site's culture, processes, and scientific identity. A day in the life An Applied Scientist with

Applied Scientist, Amazon Connect Talent New York, New York, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The Applied Scientist II will contribute to the development of AI systems. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs at a project level. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with technical leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. Key job responsibilities * Design and implement solutions that extend or adapt scientific approaches for customer needs at the project level * Deliver components into production that meet high quality standards (efficient, reproducible, testable code) * Produce research reports demonstrating correctness, scholarship, and scientific rigor * Work with product and science teams to deliver impactful AI features * Contribute to operational excellence in the team's deliverables

2026 Fall Applied Science Internship - Automated Reasoning - United States, PhD Student Science Recruiting Seattle, Washington, USA Shape the Future of Cloud Computing Are you a graduate student passionate about Automated Reasoning and its real-world applications? Join our team of innovators and embark on a journey to revolutionize cloud computing through cutting-edge automated reasoning techniques.Our tools are called billions of times daily, powering the backbone of Amazon's products and services. We are changing the way computer systems are developed and operated, raising the bar for security, durability, availability, and quality. As an Applied Science Intern, you'll have the opportunity to work alongside our brilliant scientists and contribute to groundbreaking projects. From distributed proof search and SAT/SMT solvers to program analysis, synthesis, and verification, you'll tackle complex challenges at the intersection of theory and practice, driving innovation and delivering tangible value to our customers. This internship is not just about executing tasks - you'll explore novel approaches to solving intricate automated reasoning problems. You'll dive deep into cutting-edge research, leveraging your expertise to develop innovative solutions. You'll work on deploying your solutions into production, witnessing the real-world impact of your contributions. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment. Join us and be part of a team that is shaping

Applied Scientist Seattle, Washington, USA At Amazon Selection and Catalog Systems (ASCS), our mission is to power the online buying experience for customers worldwide so they can find, discover, and buy any product they want. We innovate on behalf of our customers to ensure uniqueness and consistency of product identity and to infer relationships between products in Amazon Catalog to drive the selection gateway for the search and browse experiences on the website. We're solving a fundamental AI challenge: establishing product identity and relationships at unprecedented scale. Using Generative AI, Visual Language Models (VLMs), and multimodal reasoning, we determine what makes each product unique and how products relate to one another across Amazon's catalog. The scale is staggering: billions of products, petabytes of multimodal data, millions of sellers, dozens of languages, and infinite product diversity-from electronics to groceries to digital content. The research challenges are immense. GenAI and VLMs hold transformative promise for catalog understanding, but we operate where traditional methods fail: ambiguous problem spaces, incomplete and noisy data, inherent uncertainty, reasoning across both images and textual data, and explaining decisions at scale. Establishing product identities and groupings requires sophisticated models that reason across text, images, and structured data-while maintaining accuracy and trust for high-stakes business decisions affecting millions of customers daily. Amazon's Item and Relationship Platform group is looking for an innovative and customer-focused applied scientist to help us make the world's best product catalog even better. In this role, you will partner with technology and business leaders to

Staff Machine Learning Engineer - Tools & Frameworks AI Cupertino, United States of America Our team of applied ML scientists and engineers works to enhance the experience and productivity of software development at Apple. Our team applies state-of-the-art ML models to solve real-world problems in software quality and development workflows. We're looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you! Our team designs and builds ML solutions to transform how Apple and developers in the ecosystem approach developing quality software at scale. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who work with NLP, computer vision, and multimodal domains to create AI-powered testing solutions. In this role, you will be responsible for developing novel ML approaches to challenging quality problems at scale. You'll work hands-on with a diverse set of ML techniques to find what actually works in production. You'll guide technical direction for the team, mentoring junior engineers while maintaining deep involvement in the code and experimentation yourself. Your technical judgment and understanding of both generative models and traditional ML methods will directly shape our product direction. You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems with creative solutions, have strong intuition for what will and won't work in practice, and thrive in a collaborative team setting where you can

Applied Scientist II, Campaign and Creative Gurugram, Haryana, IND We're on a journey to build something new a green field project! Come join our team and build new discovery and shopping products that connect customers with their vehicle of choice. We're looking for a talented Applied Scientist to join our team of product managers, designers, and engineers to design, and build innovative automotive-shopping experiences for our customers. This is a great opportunity for an experienced engineer to design and implement the technology for a new Amazon business. We are looking for a Applied Scientist to design, implement and deliver end-to-end solutions. We are seeking passionate, hands-on, experienced and seasoned Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation.. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and dynamic learning. As a Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a

Applied AI Engineer (Fullstack), AI Co-Innovation Norway (Oslo) What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As an AI Engineer, you'll design and build complex AI-powered solutions-agentic systems, user-facing applications, and intelligent workflows-deployed in real customer environments. You'll work closely with customer teams, internal stakeholders, and product engineering to take solutions from idea to production. This role demands hands-on technical depth, creativity in solution design, and the ability to move fluidly across domains, tools, and stakeholders. The Impact you bring to Cognite - Own deployments end-to-end. Build cross-stack solutions using Cognite Data Fusion and agentic frameworks to solve real customer problems - Work with real-world systems and data. Orchestrate integrations between AI components, Cognite data models, and existing customer systems using scalable engineering practices - Design agent workflows. Architect

Applied Scientist II, AWS Just-Walk-Out Science Team Seattle, Washington, USA As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Key job responsibilities Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than big company. We'll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As an Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists. You will tackle challenging, novel situations every day and given the size of this initiative, you'll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that's higher than most projects and relish the idea of solving problems that, frankly, haven't been solved at scale before - anywhere. Along the way, we guarantee that you'll learn a ton, have fun and make a positive impact on millions of people. A

Director of Applied Science and Engineering - Knowledge Graphs & AI Hyderabad About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. The Role We are looking for a Director of Applied Science and Engineering to lead the vision, strategy, and execution of Outreach's Knowledge Graph and contextual AI capabilities. This is a senior leadership position for someone who combines deep technical expertise in knowledge representation, graph-based learning, and reasoning systems with the ability to build, inspire, and scale a high-performing team. You will own the end-to-end technical direction of a per-tenant contextual knowledge graph that captures the full complexity of each customer's sales environment: accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity. This graph is the reasoning backbone of the platform, powering next-best-action recommendations, deal risk signals, coaching suggestions, competitive intelligence, and agentic AI workflows. In this role, you will set the research agenda, define the architecture, hire and grow the

Technical Solution Consultant Tokyo, JAPAN, Japan 企業概要: 会社の説明 Intuitiveでは、果たすべき使命に向けて皆で団結して取り組みます。当社は、低侵襲治療は生活をより豊かにする治療であると考えています。独創性とインテリジェントなテクノロジーを通じて医師の潜在能力を広げ、制約なく治療できるようにします。 私たちは、ロボット支援手術におけるパイオニアであり市場リーダーとして、インクルーシブで多様性のあるチームの育成に努め、変化を生み出すことに尽力しています。25年以上にわたり、世界中の病院や医療チームと協力して、ヘルスケアのいくつかの最も困難な課題の解決を支援し、可能なことを前に進めてきました。 Intuitiveは、さまざまなバックグラウンドを持つ優秀な人材の努力によって成り立っています。優れたアイデアはどこからでも得られると信じ、私たちは、思考の多様性と相互の尊重に根差したインクルーシブな文化の醸成に努めます。また、包摂性（インクルージョン）を持ってチームメンバーを指導し、ありのままの自分で最高の仕事ができるよう力づけます。 変化を生み出すことを望む情熱的な人々が、当社の文化の原動力となっています。私たちのチームメンバーは、誠実さを重視し、高い学習能力と物事をやり遂げるエネルギーを持ち、当社が新しい考え方ができるよう多様な実体験をもたらします。私たちは、チームメンバーが引き続き当社の使命を遂行し、最大限の可能性を実現できるよう、積極的に投資して彼らの長期的な成長をサポートします。 医療従事者と患者さんのグローバルなコミュニティを目指して大きく躍進しようと尽力しているチームの一員になってください。一緒に、低侵襲治療の向上に取り組みましょう。 求人内容: Primary Function of Position The Technical Solution Consultant serves as a trusted advisor, collaborating with digital and capital sales to educate customers on the technical requirements of implementing Intuitive's digital solutions. They engage in technical discussions to drive towards the successful implementation of Intuitive's digital portfolio, including da Vinci and Ion. Engaging with internal and external stakeholders, including hospital executives and IT personnel, they equip teams for successful implementation and sustainable digital programs. Successful candidates excel in communication, stakeholder engagement, project management, and horizontal leadership, driving project momentum and adaptation to customer needs. Essential Job Duties Partners with Digital and Capital Sales Teams, Product Network and Data team and other cross functional partners to define, plan, and manage full activation of digital products. Collaborate with product development and go to market teams to identify industry trends and strengthen digital solutions. Forges solid relationships internally and with customer contacts Understand how our digital solutions integrate with Intuitive's robotic platforms and within the hospital enterprise. Serve as the customer facing digital solutions technology expert. Support the sales process through the preparation and presentation of consultative integration strategies for Intuitive's digital application. Effectively navigate hospital technology intake processes to achieve acceptance, prioritization, and implementation of digital applications. This includes, presenting network topology and data flow diagrams and addressing customer technical review boards. Manages multiple ongoing projects and resources while successfully establishing work expectations across internal and external customers. Partner

Applied AI Engineer SF Headquarters | OnSite ABOUT US We're building the AI infrastructure powering the future of financial operations - starting with automating the most painful and complex workflows in loan servicing. - Backed by a16z and Y Combinator, with $65M raised in Series A funding. - 8-figure ARR 20% of the auto lending industry, and processing millions of real customer calls and transactions daily. - Fully deployed with major financial institutions - not just PoCs. - We are expanding into new financial services segments! - In-person office culture in San Francisco, CA. We're fully integrated with our customers, own the full stack, and are moving fast to bring modern AI into regulated industries where precision, reliability, and performance matter most. ABOUT THE ROLE We're looking for a Member of Technical Staff to help build the speech and language models behind Salient's production voice agents. You'll work on challenging problems in speech and language modeling. Many of these problems look solved in academic benchmarks, but remain deeply unsolved in real-world production. This is a high-ownership role on a small, elite team. You'll own core parts of the system end to end, and everything you do will have direct revenue impact. WHAT YOU'LL DO - Build and improve production speech models and systems with the ultimate goal of improving real-time conversational quality. - Post-train LLMs for voice agents used for consumer finance. - Develop evals, harnesses, and monitoring systems. - Work across models, data, infrastructure, and product to improve end-to-end

Technical Writer Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position Produce accurate, clearly presented, consistent instructions for use (IFU) for medical device robotic systems and instruments; receive general instructions on day-to-day work and general instructions on new assignments; can be mentored by a more experienced writer; use professional concepts and skills; apply company policies and procedures to resolve a variety of issues. Essential Job Duties Plan, write, and edit instructions for use (IFU) for medical device systems and instruments, including large system manuals, instrument manuals, and ship-with literature using Adobe FrameMaker, Adobe InDesign,

Applied Scientist , Personalization & Ranking Seattle, Washington, USA Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these questions and you will be a great fit for our team at Amazon. As an Senior Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for Personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems. Key job responsibilities - Using Amazon's large-scale computing resources, you will ask research questions about customer behavior, build state-of-the-art models to optimize the shopping experience, and run these models directly on the retail website. - Develop AI solutions for Recommendation systems using Deep learning, LLMs, Reinforcement Learning, distillation, and Optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques