Solve Intelligence jobs

Applied Scientist, Navigation San Francisco, California, USA Amazon is on a mission to redefine the future of automation - and we're looking for exceptional talent to help lead the way. We are building the next generation of advanced robotic systems that seamlessly blend cutting-edge AI, sophisticated control systems, and novel mechanical design to create adaptable, intelligent automation solutions capable of operating safely alongside humans in dynamic, real-world environments. At Amazon, we leverage the power of machine learning, artificial intelligence, and advanced robotics to solve some of the most complex operational challenges at a scale unlike anywhere else in the world. Our fleet of robots spans hundreds of facilities globally, working in sophisticated coordination to deliver on our promise of customer excellence - and we're just getting started. As a Sr. Scientist in Robot Navigation, you will be at the forefront of this transformation - architecting and delivering navigation systems that are intelligent, safe, and scalable. You will bring deep expertise in learning-based planning and control, a strong understanding of foundation models and their application to embodied agents, and as well as have in-depth understanding of control-theoretic approaches such as model predictive control (MPC)-based trajectory planning. You will develop navigation solutions that seamlessly blend data-driven intelligence with principled control-theoretic guarantees. Our vision is bold: to build navigation systems that allow robots to move fluidly and safely through dynamic environments - understanding context, anticipating change, and adapting in real time. You will lead research that bridges the gap between cutting-edge academic advances

Full Stack Software Engineer, Applied AI San Francisco About Wonderschool Wonderschool builds software that helps small business owners earn more money. We started with childcare providers because it is a large, underserved market where technology can have an outsized impact on revenue. But the model scales: we are building a platform and a playbook that will expand into other verticals. We are heavy users of AI. OpenClaw agents run most of our operations: provider outreach, customer communications, enrollment workflows, compliance tasks. Non-engineers at Wonderschool spin up automations, cron jobs, and API workflows directly from Slack, without touching a line of code. We are now taking the next step: making AI agents reliable enough to build the product itself. Our team is small and moves fast. We value engineers who are obsessed with outcomes, not process. The Vision The North Star for this role: a system where a user signal (a provider revenue dropping, an enrollment bottleneck, a churn spike) automatically triggers a chain of AI agents that writes the product requirements, designs the solution, builds the code, reviews it, and ships it. No human in the loop for the routine stuff. Humans define what matters, train the agents, and review edge cases. We are not there yet. You are the person who helps us get there, piece by piece. What You Will Do Own the AI Development Loop - Review and iterate on AI-generated code (from tools like Claude Code, OpenClaw, Codex, Cursor) and feed that review back as training

Senior AI Operations (AI Ops) Engineer Palo Alto, CA At Navan, we aren't building a single, generic chatbot. We are building a Composable AI Microservice Architecture , a swarm of hundreds of hyper-specialized AI services, each meticulously "programmed" to solve small, focused tasks with high precision. This fleet powers Ava , our AI support engine, and a suite of cutting-edge generative tools for travel and expense management. As a Senior AI Operations (AI Ops) Engineer , you are the architect of the platform that makes this scale possible. You will move beyond traditional MLOps to manage a "factory" of Language Models. Your challenge is one of orchestration and standardization, ensuring that every service in the swarm meets a rigorous bar for quality, reliability, and cost-efficiency. What You'll Do Orchestrate the AI Fleet: Build and own the runtime environment for 100+ specialized AI services. Manage model routing, context versioning, and standardized memory/history stores. High-Density Inference Optimization: Design and implement SageMaker Multi-Model Endpoints (MME) and Inference Components to serve multiple tuned SLMs per GPU, maximizing hardware utilization while minimizing latency. Deterministic Service Excellence: Treat reliability as a layered engineering problem. Build deterministic "shells" around probabilistic LM outputs, prioritizing data-layer validation and strict serialization. Automated Evaluation & Observability: Implement "LLM-as-a-judge" patterns and automated benchmarking to detect semantic drift and hallucinations across the fleet before they impact the user. Standardize the Workflow: Obsess over building reusable patterns and Terraform-based infrastructure that eliminate "snowflake" configurations, allowing us to deploy new specialized AI tasks in minutes.

Product Manager EG-Cairo, Egypt (Al Emdad & Al Tamween) Position: Product Manager Job Description: Join the Team Powering Trusted Intelligence At SiliconExpert, we're transforming one of the world's most complex systems - the global electronics supply chain. For decades, engineers and procurement teams have battled overwhelming data, disconnected systems, and constant disruption. Our mission is to bring clarity to that complexity. With Trusted Intelligence, we're empowering innovators with the foresight to make confident decisions that keep industries moving forward. And now, we're growing. We're hiring SaaS, AI, and data product leaders who are energized by solving big challenges, passionate about technology, and ready to help customers turn intelligence into action. If you want to be part of a team where your work truly impacts how the world designs, builds, and delivers-let's talk. Join us. When intelligence is trusted, innovation never stops. Summary The Product Manager will lead product, engineering, data, design, sales, marketing, and CX to build the next generation AI-powered SaaS & data platform to transform electronics supply chain workflows. This role requires a strategic thinker with exceptional product sense who is passionate about establishing a strong product culture and building state-of-the-art technology to deliver deep customer value. What You'll Be Doing: · Discover and champion customer problems, translating VoC into winning product roadmaps and execution plans · Own the platform product vision, strategy, and roadmap, aligning seamlessly with business objectives and customer outcomes · Identify and prioritize product opportunities with a passion for growth, balancing customer value, feasibility,

Software Development Engineer II, Sponsored Products and Brands New York, New York, USA About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • You are a significant contributor to the full software development lifecycle, including scoping, design, code, testing, deployment, and maintenance. • Solve difficult software challenges using state-of-the-art technology. • Demonstrate operational excellence in all your work and are active in operational support, ensuring root causes of issues are identified and resolved. • Actively participate in code review, provide meaningful feedback to other to raise the bar. • Collaborate with data scientists and product managers on machine learning experiments. • Establish best practices and drive improvements in design, development, and operations. • Mentor junior engineers in design, coding, troubleshooting, and operational excellence. Basic Qualifications: - 3+ years of

AI Support Engineer San Francisco | OnSite | New York City WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role Cognition is building the AI software engineer of the future. As an AI Support Engineer, you will be responsible for resolving complex technical issues for customers using Devin and Windsurf in real-world development environments. This role goes well beyond basic support. You will investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will reproduce bugs, analyze logs, trace failures, form root-cause hypotheses, and drive issues to resolution quickly and rigorously. We are looking for someone with strong debugging instincts, broad systems knowledge, and the ability to operate with urgency across a high volume of technical issues. You should

Technical Program Manager III, Gemini, Google Home New York, NY, USA A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Gemini for Home Capabilities team is responsible for building the foundational intelligence capabilities that enable all of Google Home to create new Gemini-powered experiences for users and developer partners. As a Technical Program Manager of the Gemini for Home Capabilities team, you will own the software engineering schedule and product deliverables for Gemini for Home foundational intelligence capabilities. You will be working closely with the teams leveraging these capabilities to deliver new Gemini-powered experiences for Google Home users. You'll also use AI tools to streamline program management processes and enable teams to deliver high-quality features at scale. The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users' homes more helpful. Our mission is the helpful home: to create a home

Senior Algorithm Developer – Deep Learning Yavne, Israel posted: Posted 30+ Days Ago

Senior IT Systems Engineer San Francisco Bay Area, San Francisco, California, United States About Brain Co. Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far: - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work Company momentum: - Raised a $55M Series A from leading investors - Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. We are looking for leaders who want to help bring new technology into institutions that impact millions of people. About the role: As our Senior IT Systems Engineer, you'll own the corporate technology layer end-to-end - identity and access management, SaaS tooling, device security, and the employee-facing systems that keep a fast-growing company running safely. This is a high-ownership role at the intersection of IT engineering and corporate security: you'll own the IT execution across

Senior Principal Data Scientist Bangalore, Karnataka About the role Are you a strategic thinker with a passion for solving large-scale problems using data? Do you enjoy mentoring high-performing teams and building ML systems that directly impact millions of users? We're looking for a Senior Principal Data Scientist to lead a team of skilled data scientists in building intelligent systems that power Meesho's next phase of growth. In this role, you'll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. You'll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, you'll ensure model efficiency, system reliability, and scientific excellence while fostering a culture of innovation, collaboration, and continuous improvement. About the role Are you a strategic thinker with a passion for solving large-scale problems using data? Do you enjoy mentoring high-performing teams and building ML systems that directly impact millions of users? We're looking for a Senior Principal Data Scientist to lead a team of skilled data scientists in building intelligent systems that power Meesho's next phase of growth. In this role, you'll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. You'll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, you'll ensure model

BI Developer I, Google Cloud Mexico City, CDMX, Mexico As a part of Google Cloud, you will empower organizations worldwide to digitally transform their operations with industry-leading infrastructure, platform capabilities, and specialized expertise. You will deliver enterprise-grade solutions built on Google's technology and the industry's cleanest cloud, across more than 200 countries and territories, customers trust Google Cloud to fuel their growth and solve their most complex business challenges. As a part of the PACE Intelligence team, the global business intelligence foundation of Google Cloud, you will help accelerate sales growth through AI agents, advanced reporting, and streamlined performance management. You will be responsible for building the semantic source of truth for the business, delivering reporting capabilities that serve over 10,000 sellers across the Cloud go-to-market (GTM) organization. In this role, you will empower GTM and Regional teams with scalable insights, a resilient data layer, and innovative key performance indicator (KPIs), enable our sellers to deeply understand their book of business and bring the very best of Google to their customers. Your mission is to drive business success and execute our Cloud Strategy through insights-led ecosystem of dashboards, agents, and expert analysts.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Design and build

Build the Future of Intelligence: Frontend Engineer (Agentic AI Platform) 3 Locations posted: Posted 30+ Days Ago

Senior AI Engineer, IT Solutions 1 City Remote Employee US | State/Province New Hampshire | Country USA Req ID: 132986 Remote Position: Region: Country USA General Overview Functional Area: Information Technology (ITM) Career Stream: IT Solutions Role: Technical Lead (TEL) Job Title: Technical Lead, IT Solutions Job Code: TL-ITM-SOLN Job Level: Level 10 Direct/Indirect Indicator: Indirect Summary We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and the technical AI team, translating complex business challenges into scalable artificial intelligence and machine learning solutions. You will be responsible for defining technical requirements, designing AI architectures (including Generative AI and RAG patterns), and collaborating with the Data Center of Excellence to deliver high-quality, production-ready AI tools that drive innovation and operational efficiency across the organization. Detailed Description AI Solution Scoping & Requirements: Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments. Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.). Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage. Data Engineering & A

Autonomy Engineer - Deep Learning San Mateo, California, United States, San Mateo, California, United States Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . About the role: Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. If you are excited about real world applications of deep learning and solving difficult problems in computer vision and autonomy, we would love to hear from you. As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, automated path planning etc. How you'll make an impact: - Design, implement, and deploy computer vision and multimodal deep learning models for Skydio's autonomy system - Leverage massive amounts of real world video and other sensor data for

Senior Technical Program Manager Lead, Gemini Audio, DeepMind Mountain View, CA, USA; +1 more Join our team and dive into one of the most exciting and rapidly evolving areas in AI development. In this multifaceted role, you'll drive impact across the entire lifecycle, focusing on end-to-end model quality. You will be closely collaborating with Researchers, Data Scientists, serving/deployment, and product teams to ensure high-quality model deliveries. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $300000 - $334000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Collaborate with modeling and capability teams to track training priorities, analyze evaluation and experimentation results, and coordinate feedback to improve models. Apply deep AI evaluation methodologies, working with data scientists to design and execute evals and perform loss analysis to measure and improve model quality. Manage the entire release cycle, including checkpoint uploads, documentation, deployment/serving coordination,

Human Factors Engineer Cambridge, MA MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. Human Factors Engineer At MORSE, we solve hard problems to field innovative technology to our customers in the US Department of Defense and the Intelligence Community. We are a company of smart people, who are easy to work with and passionate about making an impact for national security. Our work spans UAVs with precision delivery, novel AI capabilities, Test and Evaluation to make sure the AI solutions accomplish their intended missions, and advanced Decision Systems to arm the warfighter with data to make better, faster decisions to plan missions and have situational awareness into potential threats. Job Summary As a Human Factors Engineer, you will work with end users and stakeholders to assess the operational effectiveness and performance of Artificial Intelligence (AI) systems. As we perform Operational Test & Evaluation (OT&E), you will lead user engagement and knowledge elicitation studies to understand user requirements and define metrics to assess the effectiveness of Human-AI teaming in operational environments . You will use your knowledge of iterative design processes to regularly elicit feedback regarding the human-AI teaming experience to recommend best practices, including design mock-ups, for enhancing the user's operational effectiveness. You will also

Senior Software ML Engineer, AI/ML GenAI, Gemini Enterprise Sunnyvale, CA, USA Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. As a Senior Software/Machine Learning (ML) Engineer in the Gemini Enterprise team, you will be at the heart of the generative Artificial Intelligence (AI) revolution. You won't just be testing models; you will be engineering the systems that define the intelligence, reliability, and helpfulness of Gemini Enterprise for millions of enterprise users. You will architect automated evaluation frameworks, design optimization algorithms, and solve technical issues at the intersection of Large Language Models (LLMs) and enterprise-grade software.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more

Senior Full Stack Engineer - Conversation Intelligence United States (Remote) Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: The QM & Coaching Team at Cresta is vital for our post-call intelligence products. Our core mission is to utilize Large Language Models (LLMs) and advanced AI techniques to transform conversations into actionable intelligence, streamlining the process of agent performance review and coaching. We build systems that deeply analyze agent behaviors, delivering structured insights into their performance and pinpointing critical areas for improvement. Through AI-powered exploration and interactive workflows, our work empowers organizations to leverage data-driven decisions and enhance the overall customer experience. As a Senior Fullstack Engineer

Machine Learning Engineer, Knowledge Graph Intelligence United States A Career with point72's Surveillance team Point72's Surveillance team sets the industry standard for intelligence-driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations. What you'll do As a Machine Learning Engineer - Applied Scientist you will play a critical role in developing algorithmic solutions and models for production-ready applications that support our front office investment professionals. You will specialize in natural language processing (NLP) solutions that extract insights from unstructured text data, with additional capabilities in predictive modeling, clustering, and time series analysis. You will manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. You will apply, adapt, and extend existing results in the broad field of NLP, while also conducting novel research as required. Specifically, you will: - Contribute to projects across various machine learning (ML) disciplines, including NLP, unstructured data analysis, predictive modeling, and classic machine learning. - Implement GenAI solutions, utilize ML infrastructure, and contribute to modeling,

Senior API Integration Engineer Sunnyvale, CA - US, Sunnyvale, California, United States, San Francisco, CA - US Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role We're seeking a Senior API Integration Engineer to serve as a strategic technical partner driving enterprise-wide digital transformation through intelligent automation and scalable system integrations. This role will lead the

Technical Program Manager III, System Engineering, Pixel Watch Mountain View, CA, USA A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Google Pixel Watch team focuses on designing and delivering the world's most helpful wearable experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's Artificial Intelligence, software, and hardware to build global wearables and create transformative experiences for users across the world. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Individual pay is determined by factors including job-related skills,

AI Support Engineer São Paulo, Brazil posted: Posted 3 Days Ago

Senior Applied Scientist, FinTelligence Bellevue, Washington, USA At Amazon's FinTech organization, we are building AI systems that process hundreds of millions of financial transactions, turn complex documents into actionable intelligence, and power autonomous agents that learn from every customer interaction. We are looking for a Senior Applied Scientist to lead the development of generative AI applications that change how finance teams work, tackling problems at the intersection of large language models, multi-agent systems, and real-world financial operations. Key job responsibilities What You'll Work On - Building AI systems that finance teams trust enough to rely on without manual review, where precision isn't a nice-to-have, it's a compliance requirement - Designing agents that learn from user corrections and get measurably better with every interaction, not just at the next model release - Solving inference at massive scale using tiered model architectures, intelligent routing, and small language models that deliver production-grade accuracy at a fraction of frontier model cost - Developing evaluation frameworks that catch quality regressions before customers do and gate every model change before it ships Who Thrives Here - You're someone who cares as much about shipping as about research. - You've built models that run in production, not just in notebooks. - You're comfortable working across the full stack, from model architecture to deployment to measuring whether the customer's workflow actually changed. - You operate well in cross-functional settings where science, engineering, and business teams inform each other continuously. - You'd rather solve a hard real-world problem than

Senior AI Engineer (Agentic AI) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago