About DatologyAIAt DatologyAI, we believe that the quality of training data is vital for the performance of AI models. Our innovative data curation suite is designed to automatically optimize petabytes of data, ensuring that your models are trained on the most relevant and effective datasets. By utilizing our curated data, users can experience training times that are 7-40 times faster and enhance model performance as if they had trained on more than 10 times the amount of raw data, all while reducing deployment costs significantly.With $57.5 million raised across two funding rounds, our esteemed investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and AI pioneers such as Geoff Hinton, Yann LeCun, and Jeff Dean. Our expert team is dedicated to simplifying the complex task of data curation, empowering anyone to train their models effectively on their own data.This position is located in Redwood City, CA, and we work in-office four days a week.

About DatologyAIAt DatologyAI, we believe that the quality of training data directly impacts the performance of AI models. Our innovative data curation suite is designed to optimize vast amounts of data, effectively reducing training time and costs, while enhancing model accuracy. With our cutting-edge technology, we enable models to achieve performance levels comparable to those trained on significantly larger datasets, all without escalating costs. Our recent successes in text models and image-text models reflect our commitment to innovation in machine learning.Backed by $57.5 million in funding from industry leaders such as Felicis Ventures, Radical Ventures, and Microsoft, our team consists of pioneers in data research and engineering. Our mission is to simplify how organizations train their models, making data curation accessible to all.This position is based in Redwood City, CA, where we foster a collaborative in-office culture four days a week.

About DatologyAIAt DatologyAI, we revolutionize the training of models by addressing the inefficiencies in data usage. Our innovative data curation suite optimally organizes and enhances petabytes of data, ensuring that your training processes are not only faster but also more efficient and cost-effective. Imagine achieving training speeds that are 7-40 times faster while enhancing model performance to levels that feel as if you’ve utilized over 10 times more raw data. Our approach enables smaller models with fewer than half the parameters to outperform their larger counterparts, significantly reducing deployment costs. Explore our latest insights on text models and image-text models.Backed by a total of $57.5M through Seed and Series A funding, our investors include industry leaders such as Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and Amazon, along with AI pioneers like Geoff Hinton and Yann LeCun. Our team is at the forefront of research in data optimization, combining expertise in both data science and engineering to simplify data curation for anyone aspiring to train their own models.This position is based in Redwood City, CA, where we embrace a collaborative in-office culture four days a week.

About DatologyAIAt DatologyAI, we understand that models are only as good as the data they are trained on. A significant portion of training compute is often wasted on data that is redundant, irrelevant, or even detrimental, leading to subpar models that incur higher training and deployment costs. Our innovative data curation suite automates the curation and optimization of petabytes of data, ensuring that your models receive the best training data possible.Training on our curated data can lead to an astonishing reduction in training time and costs, making it possible to achieve 7-40x faster training depending on the specific use case. Moreover, it can enhance model performance as if you had utilized over 10x more raw data without escalating training costs. Our approach facilitates smaller models with fewer than half the parameters to outperform larger counterparts while using significantly less compute during inference, ultimately lowering deployment costs. For further insights, explore our recent blog posts on text models and image-text models.With a total of $57.5 million raised across two funding rounds, including Seed and Series A, our esteemed investors feature Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI pioneers like Geoff Hinton, Yann LeCun, and Jeff Dean. Our team stands at the forefront of this research domain, equipped with deep expertise in both data research and engineering, simplifying the data curation process for anyone aiming to train their model on their data.This position is located in Redwood City, CA, where we maintain an in-office presence four days per week.

Location: Redwood City, CA (Hybrid — 3 days/week in office)Our MissionAt Quilt, we are dedicated to transitioning humanity away from fossil fuel heating. An astounding 20% of the U.S. global warming emissions originate from homes, surpassing emissions from cars. The primary contributor to these emissions is the burning of fossil fuels for heating. To combat climate change, over 80 million homes in the U.S. must shift from combustion-based heating to efficient electric heat pumps in the coming decades.We believe that achieving this transition requires exceptional products that are easy to purchase and adopt. Currently, most heat pumps lack intuitive design, underutilize software, and present challenges during adoption. We are developing a next-generation home heating and cooling system that is not only aesthetically pleasing but also optimized by AI, outperforming existing solutions by a factor of ten.The ChallengeWhile AI agents can generate code at speeds 100 times faster than human developers, our primary bottleneck lies in code verification. At Quilt, we create software that operates on physical hardware within homes. A software bug could mean a family is left without heat. Our codebase encompasses embedded C++ for custom devices, cloud infrastructure, and mobile applications. Currently, much of our verification process relies on manual testing methods, such as physically visiting a test bench to execute tests.Our goal is to build a robust development factory that streamlines code verification.We are seeking a talented Software Engineer to lead our developer infrastructure initiatives. This includes developing simulators, test harnesses, CI/CD pipelines, and verification systems that empower our engineering team (and our AI agents) to deploy features quickly and confidently. Your contributions will be pivotal in enhancing the efficiency and reliability of our software development lifecycle.

Join Poshmark's Innovative TeamPoshmark is at the forefront of the fashion resale industry, creating a dynamic marketplace that connects a passionate community of buyers and sellers through engaging social interactions. Since 2011, we've empowered over 130 million users to transform their closets into successful businesses while promoting sustainable fashion practices. Our platform has facilitated over $10 billion in gross merchandise value (GMV), enabling sellers to earn billions and providing buyers with unique and affordable fashion items. Discover more about our mission at www.poshmark.com and stay updated with our latest news at newsroom.poshmark.com.Our Big Data team plays a pivotal role within Poshmark, dedicated to developing a state-of-the-art data platform that unlocks valuable insights for our business and customers. We are committed to democratizing data access, supporting rapid business growth, providing self-service analytics tools, and driving key initiatives across the organization.We are seeking a talented Senior Software Engineer to join our Data Engineering team. In this role, you will enhance our Datalake infrastructure, ensuring stakeholders have real-time access to high-quality data. This position offers the chance to leverage your software development expertise to create and sustain both real-time and batch data pipelines, focusing on scalability and optimization while collaborating with Data Science, Analytics, and Platform Engineering teams to develop tools for managing petabyte-scale datasets.

Join Dyna Robotics as a Senior Software Engineer specializing in our Data & Evaluation Platform. In this pivotal role, you will be instrumental in designing and implementing robust software solutions that facilitate data analysis and evaluation processes. You will collaborate closely with cross-functional teams to optimize our platform, ensuring it meets the dynamic needs of our clients.

Join us in creating a safer world, one incident at a time.Ambient.ai is an innovative, AI-driven physical security platform dedicated to enabling leading enterprises to mitigate risk, enhance operational efficiency, and extract crucial insights. Our technology is trusted by seven of the top 10 U.S. tech giants, alongside numerous Fortune 500 companies, all relying on Ambient.ai to modernize their physical security frameworks.Our platform harnesses cutting-edge AI and computer vision technologies to integrate seamlessly with existing camera and sensor systems, facilitating real-time monitoring and proactive threat identification. By reducing false alarms by over 95%, Ambient.ai empowers security teams to concentrate on genuine threats and prevent incidents before they arise.Founded in 2017 and backed by prominent investors such as Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company with a vision to make every security incident preventable.Are you eager to explore more? Connect with us on LinkedIn and YouTubeAbout the Role:Reporting to Raghu Nallamothu, the Staff Data Platform Engineer position is a remarkable opportunity to shape the strategic direction of the data platform team. As a foundational member, you will spearhead the design, development, and scaling of advanced data storage and caching systems to petabyte-level capacity, establishing benchmarks for reliability, availability, and performance critical to our operations. You will also play a crucial role in pioneering retrieval-augmented generation systems, setting a new standard for innovative data-driven capabilities at Ambient.ai.Your Responsibilities:Lead the architecture and scaling of our data storage and caching systems to handle petabyte-scale data while spearheading advanced retrieval-augmented generation systems.Create highly efficient caching systems that eliminate latency and ensure rapid data access.Address data infrastructure challenges proactively, swiftly resolving issues to minimize downtime.Drive innovative efforts in retrieval-augmented generation systems, pushing the boundaries of data capabilities.

About the RoleJoin Character as a Staff Software Engineer on our AI Platform, where you will engage in a dynamic array of projects at the intersection of software engineering and AI data. Your role will initially focus on three pivotal areas:Assist our research team by creating the essential tools and datasets to train cutting-edge models.Activate our "data flywheel" by developing data pipelines and collaborating closely with ML researchers to ensure our AI models are continually refined and aligned with human feedback.Enhance our data infrastructure, utilizing technologies such as Spark, Beam, and GCP.

SB Energy develops, owns, and operates large-scale energy and data center infrastructure projects across the United States. Backed by SoftBank and Ares, the company has expanded since 2019 to manage over 3 gigawatts in operation, with a robust pipeline of additional projects nationwide. SB Energy uses advanced technology, including an AI-driven digital platform, to deliver reliable and affordable energy for growing demand. With headquarters in Redwood City, CA, and offices in Denver, CO and San Diego, CA, SB Energy focuses on accelerating the shift to cleaner, more sustainable energy sources. The company emphasizes innovation, teamwork, and strong execution to shape the future of energy and technology. Role overview The Senior Manager, Data Center Controls Engineering, leads the design, standardization, and deployment of control systems for data center projects. This position ensures that Building Management Systems (BMS), Electrical Power Monitoring Systems (EPMS), and related controls infrastructure are scalable, reliable, and fully integrated to support high-performance, mission-critical operations. Beyond technical oversight, this role manages and develops a team of controls engineers. The Senior Manager is responsible for maintaining consistency, quality, and ongoing improvement across a growing portfolio of data center campuses. Location Redwood City, CA; Denver, CO; San Diego, CA; or remote.

Join our dynamic team at dstaff as a Software Engineer, where you will play a pivotal role in developing innovative software solutions. As part of a talented team, you will contribute to exciting projects that push the boundaries of technology and enhance user experience.

Company Overview:Dyna Robotics is at the forefront of the robotics revolution, creating versatile robots powered by our cutting-edge proprietary embodied AI foundation model. Our technology excels in generalization and self-improvement across diverse environments, delivering exceptional commercial-grade performance. With deployments spanning multiple industries, our frontier model stands as a leader in generalization and performance metrics.Founded by visionary entrepreneurs Lindon Gao and York Yang, who previously achieved remarkable success with Caper AI, alongside former DeepMind research scientist Jason Ma, Dyna Robotics has successfully raised over $140 million from top-tier investors like CRV and First Round. We are poised to redefine the robotic automation landscape, and we invite you to join us in shaping the future of AI-driven robotics!Discover more at dyna.coPosition Overview:We are on the lookout for a highly skilled Machine Learning Infrastructure Engineer to join our dynamic team. You will be instrumental in scaling our machine learning training platform, focusing on designing, implementing, and maintaining comprehensive ML infrastructure. Your expertise will accelerate model iteration and enhance training performance within our expansive GPU ecosystem. Engage with advanced high-performance computing systems, optimize distributed training environments, and ensure system reliability as we grow.

About PoshmarkPoshmark stands as a premier fashion resale marketplace, fueled by an active and enthusiastic community of buyers and sellers, complemented by real-time social engagement. Our platform is crafted to make online selling not just enjoyable but also inherently social and straightforward. Poshmark empowers sellers to transform their closets into flourishing businesses while sharing their unique styles with the world. Since our inception in 2011, we have expanded our community to exceed 130 million users, generating over $10 billion in GMV and assisting sellers in realizing billions in earnings. We delight buyers with exceptional deals and unique items while championing a sustainable future for fashion. For further information, please visit www.poshmark.com and for the latest company updates, visit newsroom.poshmark.com.At Poshmark, the security team plays a critical role in safeguarding our application platform, cloud infrastructure, and IT systems, ensuring the protection of our community of 150 million Poshers. We are seeking a Staff Engineer specializing in Cloud/Infrastructure Security, tasked with designing, implementing, and maintaining secure AWS cloud and corporate IT infrastructure, adhering to industry best practices and CIS benchmarks. This position encompasses hardening systems, developing security architectures and policies, managing vulnerabilities, and enforcing least-privilege IAM controls across the enterprise.

About the RoleWe are excited to announce an exclusive opportunity for a talented Software Engineer (Windows) to join our dynamic team in Redwood City, CA. This is a full-time, permanent position where you will play a crucial role in enhancing our desktop streaming software, delivering an exceptional streamer/viewer experience.Role Overview:As a member of our Engineering team, you will collaborate closely with Product and client-side engineers to develop cutting-edge desktop streaming solutions that drive content creation.

About the RoleAt Character, we are on a mission to scale personalized AI to billions of users, and monetization is the backbone of our sustainable vision. Our dedicated monetization team is innovating the way users engage with virtual currency, subscriptions, and premium features, ensuring these interactions are intuitive, rewarding, and enjoyable. We’re seeking a passionate Product Engineer who excels at the intersection of product design, commerce, and user experience—someone eager to create and implement systems that not only drive revenue but also enhance overall user satisfaction.If you possess experience with subscriptions, advertising, virtual economies, or in-app purchase systems, and are dedicated to crafting high-quality user experiences, we would love to collaborate with you.What You’ll DoDevelop and enhance user-facing features across mobile and web platforms that facilitate payments, subscriptions, and in-app purchase processes.Design and experiment with monetization interfaces, ranging from virtual currency systems to premium upsells and advertising strategies.Collaborate closely with design and product teams to create delightful, efficient, and trustworthy purchasing experiences.Work with data science teams to define success metrics for monetization, conduct experiments, and analyze results.Partner with backend developers to create scalable and reliable systems for payments, entitlements, and transactions.Uphold a high standard for UI/UX quality, performance, and privacy in sensitive user interactions.Contribute to shaping the company’s monetization experimentation framework, including methodologies for A/B testing and rapid iteration.Who You AreExperienced in consumer product development with a focus on monetization, in-app purchases, or subscription models.Strong proficiency in Typescript, React, React Native, Tailwind, HTML, and modern front-end development practices.Comfortable working on backend services, preferably using Python or Golang, particularly for payment or commerce systems.Proven track record of delivering user-facing features that have driven measurable monetization or engagement improvements.Ability to excel in fast-paced environments, balancing the need for speed with quality and reliability.Excellent communication and collaboration skills across engineering, product management, design, and data analytics teams.Nice to HaveFamiliarity with A/B testing frameworks and data-driven decision making.

About the RoleWe are in search of experienced Machine Learning Infrastructure Engineers who excel at designing, constructing, and maintaining robust training and serving infrastructures for machine learning research initiatives.Key ResponsibilitiesDeliver comprehensive infrastructure support for our machine learning research and product development.Develop tools for diagnosing cluster issues and addressing hardware failures effectively.Oversee deployments, manage experiments, and provide ongoing support for our research activities.Optimize GPU allocation and utilization for both training and serving environments.QualificationsA minimum of 4 years of experience in supporting infrastructure within machine learning environments.Proven experience in creating diagnostic tools for ML infrastructure issues.Familiarity with cloud platforms, such as Compute Engine, Kubernetes, and Cloud Storage.Hands-on experience working with GPUs.Preferred QualificationsExperience managing large GPU clusters and high-performance computing/networking.Knowledge in supporting large language model training.Familiarity with machine learning frameworks like PyTorch, TensorFlow, or JAX.Experience in GPU kernel development.

Join us in creating a safer world, one incident at a time.At Ambient.ai, we are pioneering a cutting-edge, AI-driven physical security platform designed to empower leading enterprises to mitigate risks, enhance operational efficiency, and extract invaluable insights. Industry giants, including seven of the top ten U.S. technology firms and numerous Fortune 500 companies, depend on our innovative solution to transform their physical security infrastructure.Our platform harnesses the power of advanced AI and computer vision to integrate seamlessly with existing camera and sensor systems, facilitating real-time monitoring and proactive threat detection. By reducing false alarms by over 95%, we allow security teams to concentrate on genuine threats and avert incidents before they happen.Founded in 2017 and supported by prominent investors such as Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company dedicated to making every security incident avoidable.Interested in learning more? Connect with us on LinkedIn and YouTubeAbout the Role:Reporting directly to Kiran Palan, you will lead a dynamic team of skilled engineers dedicated to developing products that are revolutionizing the physical security landscape. As an Engineering Leader, you will be at the forefront of creating innovative product concepts while nurturing the growth of existing offerings. Collaborating closely with product managers, you will help define our growth strategy, ensuring alignment of processes and delivery with the product roadmap.In this pivotal role, you will unify internal business partners and leadership around this strategic plan while partnering with cross-functional teams to execute it effectively. Your involvement will be crucial in assessing and maintaining the quality and user experience of our products, all while ensuring agility in our development processes.What You'll Bring:Leadership of the current product engineering team, encompassing front-end, mobile, and back-end developers.Expertise in designing, guiding, and evaluating systems within the broader context of product development.Ability to scale the team effectively, recruiting and onboarding new talent while fostering a high-performance culture among software engineers.Technical proficiency as a hands-on coder, coupled with the ability to coach and mentor effectively.Commitment to ensuring exceptional product quality and user experience through active engagement and leadership.

Hammerhead AI develops software that advances AI infrastructure by optimizing how data centers use power. The company’s platform manages power, cooling, and compute resources in real time, using reinforcement learning to help operators run more AI workloads without exceeding electrical or thermal limits. So far, Hammerhead AI has optimized over 8 gigawatts of critical power worldwide, reducing the environmental impact of large-scale computing. This team brings together expertise in AI, energy, and computing. Employees collaborate with specialists in reinforcement learning, IoT, and infrastructure, working toward more efficient and sustainable AI operations. The company values innovation in data center design and offers competitive compensation, equity, and benefits. Many team members have experience building and scaling successful startups. Role overview The Product Manager for the AI Infrastructure Platform leads the vision, roadmap, and execution for Hammerhead’s orchestration platform. This role defines product offerings, clarifies their purpose, and plans delivery for customers. The work involves translating technical details about data center power, cooling, and compute systems into actionable requirements for engineering and deployment teams. What you will do Own and communicate the product vision and roadmap for the AI Infrastructure Platform Define product features and clarify their value to customers Translate technical knowledge of power, cooling, and compute systems into clear requirements Work closely with reinforcement learning engineers, software teams, deployment, customer success, and go-to-market groups Ensure the platform delivers measurable value at every customer site What sets this role apart Work at the intersection of AI, energy, and computing Collaborate with experts in reinforcement learning and infrastructure Contribute to a more sustainable foundation for AI computing Join a team driving innovation in data center operations

Join us in creating a safer world, one incident at a time.At Ambient.ai, we are pioneering a cutting-edge, AI-powered physical security platform that empowers leading enterprises to mitigate risks, enhance operational efficiency, and derive invaluable insights. Our technology is trusted by seven of the top ten U.S. tech giants and numerous Fortune 500 companies to modernize their security frameworks.Our innovative platform leverages advanced artificial intelligence and computer vision to integrate seamlessly with existing camera and sensor systems, providing real-time monitoring and proactive threat detection. By drastically reducing false alarms by over 95%, Ambient.ai enables security teams to concentrate on genuine threats, effectively preventing incidents before they happen.Founded in 2017 with the support of industry leaders like Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company on a mission to ensure that every security incident is preventable.Interested in learning more? Connect with us on LinkedIn and YouTubeAbout the Role:We are on the lookout for a skilled Full Stack Engineer to contribute to the development and scaling of the essential systems that drive Ambient.ai’s real-time AI security platform. In this dynamic role, you will engage with software that processes and interprets large volumes of video and event data instantly, turning raw signals into actionable intelligence for some of the world's largest enterprises.You will regularly tackle technically challenging problems in a fast-paced, collaborative atmosphere and witness your contributions deployed in mission-critical environments.Your Responsibilities:Design and implement REST and GraphQL endpointsDevelop highly available, latency-sensitive, fault-tolerant microservicesCreate core infrastructure for handling significant volumes of video streaming dataEnhance the performance, reliability, and scalability of all backend servicesTake ownership of small to medium platform features, overseeing them from conception to deploymentCollaborate as a vital member of the platform team, responsible for one or more services/product featuresExpect to be challenged and continuously develop your skills.