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A
Anthropic
📍 Ca New York City• $385K – $460K/yr
1mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about saf

ailogistics
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B
Baseten
📍 San Francisco• Full-time• Remote• $170K – $220K/yr
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. REQUIREMENTS Product Positioning & Technical Narrative Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities. Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences. Partner with Product and Engineering to understand the technical architecture, customer value, roadmap tradeoffs, and proof points behind each capability. Define when a capability should be positioned as a platform differentiator, a dedicated inference requirement, a reliability story, a compliance story, or sales enablement. Build messaging that is technically credible without being overly implementation-focused or generic. Launch Strategy & GTM Execution Build and execute launch plans for major dedicated inference and serving platform capabilities, from early internal enablement through external announcement. Decide what deserves a full launch versus what should ship through docs, sales enablement, customer-specific materials, or targeted enterprise outreach. Create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points. Sequence launches and supporting assets based on custom

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About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Department The Infrastructure Engineering team builds and scales Cloudflare’s global network, ensuring high availability, security, and performance across hundreds of cities worldwide. Within Infrastructure Engineering, the Hardware Integration Operations team acts as the critical bridge connecting our global manufacturing partners, procurement teams, and capacity strategy. We manage the end-to-end flow of server and network hardware into full

aifinancesupply chain
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B
Block
📍 United States of America, United States• $217.8K – $326.8K/yr
1mo ago

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. The Role Payment Interfaces builds and operates the APIs and services that power payment experiences across Block, including Square, Cash App, and Afterpay. Our systems process payment traffic worldwide, helping sellers accept payments and customers move money reliably and securely. You’ll design, build, and scale customer-facing payment APIs and the critical systems behind them. You’ll bring experience in payments, lead complex projects from design through production, and help shape the team’s technical direction. You’ll learn the specifics of Block’s products and payment processing on the job. This is a hands-on engineering role with ongoing operational responsibility. Alongside building new capabilities, you’ll

typescriptawsai
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CAPCO POLAND *We're looking for Poland-based candidates. The role is hybrid and requires working from the office in Warsaw. Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry. We are also: Experts in banking and payments, capital markets and wealth and asset management Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture Shape trusted, scalable data solutions that turn complex banking data into meaningful business value. The Role We are looking for Data Architecture & Governance Consultants to join our Banking & Payments practice in Warsaw. You will work with clients to design and govern scalable data solutions across complex financial services environments. Combining data architecture, governance and cloud expertise, you will help establish trusted data models, clear standards and effective controls while enabling high-performance solutions using GCP and BigQuery. You will collaborate closely with business stakeholders, Data Stewards, Domain Experts, Business Analysts and engineering teams to translate business needs into well-defined, secure and scalable data solutions. What You’ll Do Design data models for data warehouses, integrated data layers and analytical layers, incorporating BigQuery modelling best practices. Integrate data from multiple source systems and help establish consistent business definitions, data semantics and documentation standards. Support data governance activities covering Data Owner and Data Steward responsibilities, metadata, data dictionaries, lineage and data quality. Design scalable, secure and high-performance GCP and BigQuery solutions, considering query optimisation, partitioning, clustering, data processing and cost management. Collaborate with

gcpauditingrecruitment
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Platform Observability & Analytics runs the infrastructure that tells Elastic the truth about its own platform. The observability clusters show Cloud engineers how production is behaving right now, and the analytics pipelines show the business how the platform and the products get used over time. This role sits on the observability side. We run 200+ hosted deployments across every supported cloud region, ingesting logs, metrics and traces for all of Elastic Cloud, plus the SLA and SLO monitoring for ESS and Serverless. When Cloud engineering needs to know what production is doing, they're looking at something we run. What You Will Be Doing Owning end-to-end delivery of moderate-to-high complexity projects on the team’s roadmap , with minimal day-to-day direction. Operating and hardening shared Elastic Cloud infrastructure (ECH, ECE, and ECK) as Infrastructure as Code – writing and reviewing the Terraform, Python, and Go that other engineers depend on. Carrying a 24/7 on-call rotation: responding to incidents, driving them to resolution, and writing clear RCAs/postmortems that lead to lasting fixes rather than repeat pages. Reviewing others’ code and designs, and being a trusted second set of eyes on production changes to critical infrastructure. Mentoring less experienced engineers, and proactively raising risks, ideas

pythonkuberneteslinux
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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a National Security Partnerships Lead to grow and manage our relationships with the U.S. Intelligence Community and with allied intelligence and security services. You will report to the Head of National Security Policy and advise company leadership on intelligence and allied-partner matters. You will help partner security organizations build policies that let them adopt frontier AI quickly and for high-impact missions, while deploying it safely and avoiding incidents. You will also engage U.S. and foreign government officials on the policy frameworks that guide the international distribution and deployment of Anthropic's models. You will own a portfolio of government partnerships end to end: setting the agenda with senior counterparts, structuring the agreements and channels that govern each relationship, and bringing partner requirements and concerns back into Anthropic's policy, product, research, and safeguards decisions. You will work closely with our public sector sales, legal, security, and threat intelligence teams. Key responsibilities Lead Anthropic's strategic engagement with U.S. Intelligence Community elements and allied intelligence and security services. Help partner security organizations develop the policies and governance that enable rapid, high-impact adoption of frontier AI and safe deployments that avoid incidents. Identify high-leverage national security deployments with partners, and support our public sector sales team in delivering them. Brief senior government security officials in the U.S. and allied capitals on frontier AI capabilities, risks, and Anthropic's approach to safety.

ailogistics
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C
Coinbase
📍 United States• Remote• $218K – $256.5K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions befo

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C
Coinbase
📍 United States• Remote• $191.3K – $225K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Machine Learning Platform Engineer on the ML Platform team within the Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase. The platform you build supports fraud detection, user personalization, and blockchain analysis. You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company. What You'll Do: Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale. Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models. Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently. Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance. Mentor junior engineers on building production-grade software, raising the team's engineering standards over time. Required Skills and Experience: 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments. Built and operated low-latency data or ML infrastructure (stream

REMOTEmachine learningaifinance
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The PDE Process Integration (PI) Engineer is responsible for driving process integration excellence for High Bandwidth (HBM) products during New Product Introduction (NPI) . This role ensures robust process readiness, yield ramp, and cross‑module integration across Post Wafer Finishing PWF, assembly, and test , enabling successful execution of HBM technology roadmaps. The PI Engineer works cross‑functionally with Fab, Assembly, Test, Yield, Quality, and central engineering teams to identify risks early, resolve complex integration issues, and deliver NPI milestones on time. Job Responsibilities Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. NPI Execution & Support Execute assigned HBM NPI PI tasks following defined procedures and phase‑gate requirements Support NPI builds through lot tracking, data collection, and

pythonartificial intelligenceai
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Micron Technology’s vision is to change how the world uses information to improve life. Our dedication to people, innovation, tenacity, collaboration, and customer focus helps us fulfill our mission to lead globally in memory and storage solutions. We conduct business with integrity, accountability, and professionalism while supporting our worldwide community. We are looking for Engineers to become part of the Package Development Engineering Team for Advanced Packaging in Singapore. This individual contributor position supports next-generation memory and HBM packaging technologies, concentrating mainly on transitioning new product from development to high-volume manufacturing. The position partners closely with stakeholders such as Development Team & Manufacturing and supplier teams across Micron’s global network. Main Responsibilities Integrate AI-assisted tool and insights into daily work to improve efficiency, quality or effectiveness. Contribute to a culture of continuous improvement by identifying, testing and sharing AI-enablement enhancement within one scope of work. Apply engineering and statistical methods to accelerate learning cycles from Design of Experiments (DOE) through product qualific

pythonartificial intelligenceai
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As our Sr. Executive IT Support Engineer, focus on problem identification and resolution, technical solution development, user experience, as well as building and maintaining positive business relationships with global IT Organizations, clients and vendors. Fulfillment of responsibilities must be performed with a minimum amount of supervision. Must be able to communicate effectively, wow customers with your personable approach, attention to detail, listening skills, and problem-solving skills. We seek your knowledge about all aspects of technology and optimally fix the diverse case load. Technical knowledge and the ability to work under stress are two meaningful skills in this role. Demonstrate skills with quick response and good sense. Responsibilities: Provide high-touch executive support, addressing advanced technical needs across office, travel, and home environments, including special events and mobile device support (iOS/Android). Diagnose, troubleshoot, and resolve hardware, software, and system issues across Windows and macOS environments, both on-site and remotely; raisek issues as needed. Manage Executive Support queue while handling installations, break/fix tasks, and video conferencing systems in diverse and complex environments. Maintain knowledge resources by developing and updating KBAs, documenting solutions, and tracking company assets responsibly. Leverage deep technical proficiency in Microsoft Office, AI tools, and security poli

airecruitmentcustomer service
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As the member of HIG HBM Package Product Engineering, you will be part of a high-performing team to driving Package and HBM Product engineering activities within the HBM Systems and Product Engineering Team. You will be part of a Global team of professional Product Engineers leading a portfolio of Best-In-Class Next Generation HBM Product focused on the critical KPI’s Quality, Cost, Cycle Time and Scale. You will collaborate across functions within and outside of HBM to meet both strategic and tactical objectives while continually maximizing the effectiveness of the HIG HBM PE organization. Key Responsibilities ASM Yield and DPM Improvement: Accountable for improving assembly related coverage within the manufacturing flows to improve the Time 0 and Field DPM and reduce/prevent inline fallout within the assembly process. HBM Cube Yield Improvement: Improving HBM Cube yield through test optimization

machine learningartificial intelligenceai
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A
Anthropic
📍 San Francisco• $200K – $265K/yr
1mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Investor Relations team manages our relationships with shareholders, prospective investors, and the broader financial community, and helps educate investors on Anthropic's mission, strategy, and financial performance. As the Operations Lead for the team, you'll own the administrative and operational backbone that keeps IR running smoothly, from coordinating investor meetings and preparing the team for them to managing the vendors and logistics behind high-profile events and visits. You'll work directly with the Head of Investor Relations and the IR team, and cross-functionally with Finance leadership, Finance & Strategy, Capital Markets, Accounting, Corporate Legal, Communications, and Workplace, to make sure every investor touchpoint reflects well on Anthropic. Because the function is still being built, you will often be creating the process rather than following one. This role suits someone who is highly proactive, thrives on structure, anticipates needs before they arise, and enjoys being the person who makes complex logistics look effortless. Key responsibilities Schedule and coordinate investor calls, meetings, and briefings, managing calendars across multiple stakeholders and time zones, and helping the team prioritize when investor demand exceeds our capacity Partner with internal teams and on-site staff to plan and execute investor events, visits, and other in-person engagements Prepare the team and executives for investor conversations and capturing follow-ups afterward Own vendor relationships for IR-related services, from sourcing through ongoing management of scope, budget, and performa

aiaccountingfinance
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Experience Level: Engineer / Senior Engineer / Principal Engineer (E1–E5) As an NFI Engineer at Micron, you will support the debug and root cause analysis of NAND-related issues across a wide range of end products, including SSDs, UFS and other NAND-based storage solutions. Working closely with Product Development, System Engineering, Firmware, Quality, and Failure Analysis teams, you will investigate complex issues involving NAND devices, firmware interactions, media management, controller interfaces, and system behavior. You will analyze system logs, characterization data, protocol traces, electrical measurements, and failure analysis results to identify root causes and drive corrective actions. The role involves supporting product qualification and sustaining activities, identifying NAND design marginalities and defectivity-related issues, improving product robustness, and developing automation or AI-assisted workflows to improve debug efficiency and accelerate issue resolution. In addition, you will leverage AI-assisted tools, data analytics, and automation solutions to accelerate debug activities, improve root cause turnaround time, and enhance engineering productivity. Engineers are encouraged to explore innovative approaches using AI technolog

pythonsqlartificial intelligence
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