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Member of Technical Staff - VLM
Black Forest Labs - Freiburg (Germany)Indexed from Greenhouse Comp disclosed in postingposted 117 days agoWhy we showed this
Description: "latent"Unspecified Engineering From the posting source - Staff Plus From the posting source EUR 130K-340K From the posting source EquityMember of Technical Staff - VLM Freiburg (Germany) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX - foundational technologies that changed how the world creates images and video. Our models power the tools used by millions of creators, developers, and businesses worldwide, and FLUX is among the most advanced generative systems in the world. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role Vision-language models are becoming foundational to how people interact with generative AI - but most VLM research happens in isolation from the generation stack. At Black Forest Labs, we're integrating VLMs directly into FLUX in ways that make our models more powerful, more controllable, and more aligned with what creators actually want. This role is about pioneering that integration. You won't be applying off-the-shelf VLMs - you'll develop novel approaches, innovate on architectures, and answer questions that haven't been solved yet: how vision and language representations inform each other, how multimodal understanding improves generation quality, and how to make these capabilities deployable at scale without compromising what makes FLUX exceptional. This is a Staff / Senior IC role. We're looking for someone who has pretrained or significantly advanced a VLM, not just fine-tuned one. What You'll Work On - Lead development and training of state-of-the-art multimodal vision-language models within the FLUX stack - innovating
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Senior Data Scientist
Leidos - 2 LocationsIndexed from Workday Benefit evidence checked May 7, 2026posted 96 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 4 wksource Resolvable source Verified non-birth-parent leave: 4 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Data Scientist 2 Locations posted: Posted 30+ Days Ago
- posted 67 days ago
Why we showed this
Employer: "latent"Hybrid - 2d office From the posting source Teaching Education From the posting source - Principal From the posting source Salary not disclosedPrincipal Technical Sourcer San Francisco | Hybrid | Remote TECHNICAL SOURCER We're building a high-caliber technical team in a competitive market. This role owns the top of the funnel-finding, engaging, and building relationships with exceptional engineers before they're actively looking. This is not a resume-pushing role. It's about taste, curiosity, and persistence. WHAT YOU'LL DO - Own outbound sourcing for technical roles (primarily software engineers) - Identify high-signal candidates via LinkedIn, GitHub, referrals, and communities - Write thoughtful, personalized outreach that actually gets replies - Partner closely with recruiters and hiring managers to define “great” - Experiment with sourcing strategies, messaging, and channels - Track and improve funnel metrics (reply rate, pass-through, time to first convo) - Build long-term candidate relationships, even when timing isn't right YOU MIGHT BE A GOOD FIT IF - You have 1-4+ years of technical sourcing experience (startup experience a plus) - You enjoy the puzzle of finding people others can't - You care about quality over volume and hate spammy outreach - You're comfortable with ambiguity and like building from scratch - You operate with urgency and take ownership - Bias to action WHAT SUCCESS LOOKS LIKE - Consistent flow of high-quality technical candidates - Strong reply rates driven by thoughtful outreach - Hiring managers trust your judgment and taste WHY JOIN - Real ownership and visibility - Opportunity to help define the sourcing playbook - Close partnership with recruiters and founders - High impact on a team scaling quickly - Exposure to the
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Software Development Manager, CreativeX - Dynamic Creative Optimization
Amazon - New York, New York, USAIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 68 days agoWhy we showed this
Description: "latent"Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $203K-$275K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedSoftware Development Manager, CreativeX - Dynamic Creative Optimization New York, New York, USA The CreativeX RAPID(Real-time Ad Personalization & Insights Development) team is seeking passionate and talented SDM to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences. Key job responsibilities - As a Software Engineering Manager you will be responsible for leading a strong team of engineers to innovate and deliver software and infrastructure that powers the Dynamic Creative Optimization. - Work backwards from the customer to invent new solutions and to improve existing software. - Work with the product and technical leaders to define the product direction and roadmap. - Create vision and execution documents. Insist on the high bar for technical documentation and the quality of the developed software. - Perform hands-on code reviews and other technical deep dives to ensure the right thing is being built and delivered to customers. - Hire, coach, and mentor software engineers. About
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Senior Estimator
Johnson Controls - 8 LocationsIndexed from Workday Benefit evidence checked Jun 13, 2026posted 96 days agoWhy we showed this
Role: semantic matchUnspecified Other - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Estimator 8 Locations posted: Posted 30+ Days Ago
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Transformation Senior Consultant
Baker Tilly - 4 LocationsIndexed from Workday Benefit evidence checked Jun 7, 2026posted 96 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reportedTransformation Senior Consultant 4 Locations posted: Posted 30+ Days Ago
- posted 136 days ago
Why we showed this
Description: "latent"Unspecified Operations From the posting source - Mid From the posting source $150K-$300K From the posting sourceBusiness Generalist New York Office About Parloa Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com HealthEquity, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale. About the role: As we enter our next phase of hyper-growth, we are seeking elite business generalists to join and grow a range of our functions. This is a high-bandwidth, high-visibility role designed for highly driven candidates who thrive on ambiguity and possess an “operator mindset." This is a multi-disciplinary leadership track. Rather than slotting you into a rigid functional box today, we hire for raw talent, rigorous thinking, and extreme ownership. Based on your specific "superpower" and our priorities, you will be deployed into one of three critical functions: Chief of Staff, Business Operations, or Strategic Finance. Areas of ownership: Depending on your background and Parloa's strategic roadmap, you will own one of the following domains: - Chief of Staff: Act as the high-bandwidth force multiplier and strategic architect for the executive team. You will spearhead "Zero-to-One" breakthroughs while serving as the primary connective tissue across the organization. By identifying latent cross-functional risks and synchronizing disparate workstreams, you ensure our most
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Senior Machine Learning Engineer III
RELX - MexicoIndexed from Workday Benefit evidence checked Jun 7, 2026posted 73 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reportedSenior Machine Learning Engineer III Mexico posted: Posted 8 Days Ago
- posted 67 days ago
Why we showed this
Employer: "latent"Onsite - 5d office From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosedSoftware Engineer San Francisco | OnSite | New York City SOFTWARE ENGINEER Location: San Francisco, CA We're building the intelligence layer of American healthcare. Our systems sit directly in critical workflows and power how clinical AI is delivered and used in practice. The work here translates into faster access to treatment and significantly less operational burden for healthcare teams. You'll be working on the core systems that make this possible. WHAT WE LOOK FOR IN A GREAT ENGINEER You're a builder who holds yourself and others to high standards. You speak command line fluently, live and die by keyboard shortcuts, and are constantly looking for ways to increase your leverage through automation. This is a high-energy environment for people who want to build real systems that matter. - Ownership: You don't hand off problems. You own them end to end, from understanding the problem to shipping production systems. - Bias for Action: You won't wait for someone else to solve a problem you're in a position to solve. - Automation Mindset: You're always looking for ways to move faster by automating repetitive or manual work. - Complexity Management: You're good at building simple, durable abstractions over messy, real-world systems. - Product Focus: You're comfortable working close to the product, talking to users, shaping requirements, and iterating quickly. WHAT YOU'LL WORK ON You'll primarily focus on backend systems, while contributing across the stack when needed to ship complete features. - Backend Systems & Infrastructure Design and build high-performance, reliable systems that
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Account Executive
Black Forest Labs - Freiburg im Breisgau, Baden-Württemberg (Germany), San Francisco, California (United States)Indexed from Greenhouse Comp disclosed in postingposted 163 days agoWhy we showed this
Description: "latent"Unspecified Sales From the posting source - Mid From the posting source $130K-$180K From the posting source EquityAccount Executive Freiburg im Breisgau, Baden-Württemberg (Germany), San Francisco, California (United States) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX-foundational technologies that changed how the world creates images and video. We're creating the generative models that power how people make images and video-tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we're just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role Our models are seeing strong demand across startups, AI-native companies, and some of the world's most recognized brands. We need someone who can turn that demand into revenue - fast, consistently, and across a high volume of accounts. This is a full-cycle role: you own everything from first touch to close to renewal and upsell. Some of your accounts will be fast-moving AI startups. Others will be household-name enterprises starting with a focused use case - and it's your job to land them, prove value, and grow them into strategic relationships. If you're already closing deals and want to be at the forefront of the generative AI wave, this is the role. What You'll Work On - Own the full sales cycle from qualification through close for SMB, startup, AI-native, and enterprise customers - including well-known global brands entering generative
- posted 96 days ago
Why we showed this
Role: semantic matchPrincipal, Machine Learning Scientist 2 Locations posted: Posted 30+ Days Ago
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Machine Learning Engineer
Huron Consulting Group Inc - Belfast - 20 Adelaide StreetIndexed from Workday Benefit evidence checked Jun 7, 2026posted 96 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedMachine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago
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HPC Data Center Technician
Jump Trading - Carrollton, TXIndexed from Greenhouse Comp disclosed in postingposted 122 days agoWhy we showed this
Description: "latent"Unspecified Engineering From the posting source - Mid From the posting source $75K-$90K From the posting sourceHPC Data Center Technician Carrollton, TX Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business. Jump's Trading Infrastructure team is responsible for the datacenters, networks and supporting systems that power both Jump's global low latency environment and high-performance computing (HPC) clusters. In this role you'll have an opportunity to work with the latest in server, network and storage technology such as high-density cabinets and liquid cooling. You'll also exist in a capacity that will allow project ownership from start to finish. What You Will Do: - Maintain data center infrastructure (power, cooling, hardware, cabling, tools/supplies, etc.). to provide maximum availability of
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Senior Machine Learning Engineer
Adobe Inc. - 3 LocationsIndexed from Workday Benefit evidence checked May 7, 2026posted 96 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago
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Member of Technical Staff - Image / Video Generation
Black Forest Labs - Freiburg (Germany)Indexed from Greenhouse Comp disclosed in postingposted 698 days agoWhy we showed this
Description: "latent"Unspecified Engineering From the posting source - Staff Plus From the posting source EUR 130K-340K From the posting source EquityMember of Technical Staff - Image / Video Generation Freiburg (Germany) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX-foundational technologies that changed how the world creates images and video. We're creating the generative models that power how people make images and video-tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we're just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role You'll train large-scale diffusion models for image and video generation, exploring new approaches while maintaining the rigor that helps us distinguish meaningful progress from incremental tweaks. This isn't about following established recipes-it's about running the experiments that clarify which architectural choices matter and which are less impactful. What You'll Work On - Trains large-scale diffusion transformer models for image and video data, working at the scale where intuitions break and empirical evidence matters - Rigorously ablates design choices-running experiments that isolate variables, control for confounds, and produce insights you can actually trust-then communicating those results to shape our research direction - Reasons about the speed-quality tradeoffs of neural network architectures in production settings where both constraints matter simultaneously - Fine-tunes diffusion models for specialized applications like image and video upscalers, inpainting/outpainting models, and other tasks where general-purpose models aren't enough What
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World Model Research Scientist- Physical AI
Kodiak Sciences - Mountain View, CAIndexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 72 days agoWhy we showed this
Description: "latent"Unspecified Data From the posting source - Mid From the posting source $190K-$250K From the posting source Equity Inferred from posting 401(k) reportedWorld Model Research Scientist- Physical AI Mountain View, CA Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak is building AI that doesn't just perceive the world, it learns how the physics of the world works. We are developing large-scale generative world models that learn to predict realistic, physically consistent futures from real-world sensor data. This capability serves as the foundation for scalable closed-loop training, validation, and long-tail scenario generation, and is distilled into the onboard models that drive our autonomous trucks. We are looking for a research scientist to lead the design and development of world models capable of generating multi-sensor, multi-view, temporally coherent driving scenarios conditioned on actions, 3D scene context, and text. In this role, you will: Design and train generative world models that synthesize realistic multi-camera video and LiDAR conditioned on ego trajectories, 3D scene context, and text Research and implement conditional diffusion architectures for driving, including spatiotemporal attention, latent space design, and
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Senior Statistician II
AstraZeneca - Spain - BarcelonaIndexed from Workday Benefit evidence checked Jun 7, 2026posted 66 days agoWhy we showed this
Role: semantic matchUnspecified Other - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reportedSenior Statistician II Spain - Barcelona posted: Posted Yesterday
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Data Scientist
Medtronic - Heerlen, Limburg, NetherlandsIndexed from Workday Benefit evidence checked May 7, 2026posted 66 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 24 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedData Scientist Heerlen, Limburg, Netherlands posted: Posted Yesterday
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AI Scientist - Biomedical Multimodal Modeling
Xaira - South San Francisco, California, United StatesIndexed from Greenhouse Comp disclosed in postingposted 103 days agoWhy we showed this
Description: "latent"Unspecified Data From the posting source - Mid From the posting source $170K-$240K From the posting source EquityAI Scientist - Biomedical Multimodal Modeling South San Francisco, California, United States About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We are building foundation models for biological systems, focusing on learning from complex, multimodal data. Our approach combines representation learning and generative modeling to capture structure, variation, and latent organization in high-dimensional settings. We work with both image-based data and high-dimensional molecular (omics) measurements, treating them as complementary views of the same underlying system. Our goal is to develop models that can both encode rich representations and generate or infer missing aspects from partial observations. What You'll Do - Develop multimodal foundation models spanning image and molecular data - Design approaches that unify representation learning and generative modeling - Train large-scale models on structured, high-dimensional datasets - Explore cross-modal alignment, prediction, and generation - Build scalable systems for data processing, training, and evaluation - Work in a research-driven environment with evolving problem definitions What We're Looking For Strong background in deep
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Senior Machine Learning Engineer
Toronto-Dominion Bank - Toronto, OntarioIndexed from Workday Benefit evidence checked Jun 7, 2026posted 96 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reportedSenior Machine Learning Engineer Toronto, Ontario posted: Posted 30+ Days Ago
- posted 93 days ago
Why we showed this
Description: "latent"Data Center Engineer Mumbai Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Production Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business. Jump's Production Infrastructure team is responsible for the datacenters, networks and supporting systems that power both Jump's global low latency environment and high-performance computing (HPC) clusters. In this role you'll have an opportunity to work with the latest in server, network and storage technology such as high-density cabinets and liquid cooling. You'll also exist in a capacity that will allow project ownership from start to finish. What You'll Do: - Remotely manage data center infrastructure (power, cooling, hardware, cabling, tools/supplies, etc.) to provide maximum availability of services. -
- posted 68 days ago
Why we showed this
Role: semantic matchUnspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedData Scientist 2 Locations posted: Posted 3 Days Ago
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Member of Technical Staff - Infrastructure Engineer
Black Forest Labs - Freiburg (Germany)Indexed from Greenhouse Comp disclosed in postingposted 332 days agoWhy we showed this
Description: "latent"Unspecified Engineering From the posting source - Staff Plus From the posting source EUR 100K-230K From the posting source EquityMember of Technical Staff - Infrastructure Engineer Freiburg (Germany) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX-foundational technologies that changed how the world creates images and video. We're creating the generative models that power how people make images and video-tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we're just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role We're looking for engineers to build and maintain the engine that powers our mission to develop visual intelligence. From maintaining and scaling clusters, to building research platforms to accelerate the rate of innovation, this team operates with large breadth and depth. We build the systems to make multi-week/month long training possible, to orchestrate resources at scale, and at the same time efficiently, enabling the next breakthrough model. If you're obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement, this team would be perfect for you. What You'll Work On - Maintain research infrastructure, ensuring health, and optimizing components to extract peak performance from the system (both on application, and infrastructure side) - Scale infrastructure to meet growing research demands while maintaining reliability and performance - Collaborate with research teams to deeply understand their infrastructure needs, and design solutions that
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Consultant - Psychometric Assessments
Marsh McLennan - Gurugram - Good EarthIndexed from Workday Benefit evidence checked Jun 13, 2026posted 69 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedConsultant - Psychometric Assessments Gurugram - Good Earth posted: Posted 4 Days Ago
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