Staff Machine Learning Engineer - Offline Infrastructure

Are you ready to transform the advertising landscape? At Cognitiv, we are more than just an AdTech company; we are pioneers reshaping media buying through our state-of-the-art Deep Learning Advertising Platform. Since 2015, we have leveraged advanced deep learning technology and data science to redefine how brands engage with their audiences. Our mission is to infuse intelligence into advertising, delivering unmatched precision, relevance, and impact at scale. With our innovative platform, advertisers benefit from exceptional flexibility, whether it’s activating Dynamic Deals via their chosen DSP, utilizing our managed service DSP, or engaging with our revolutionary ContextGPT product. Joining Cognitiv means you'll be at the helm of AI-driven advertising solutions, influencing change and fostering remarkable growth in this dynamic sector. We are expanding our team!The RoleWe are on the lookout for one of the industry's finest ML inference engineers—an individual eager to architect and scale a pioneering inference system that will serve as the backbone of Cognitiv’s ML-driven products.In this pivotal role, you will shape the concept of inference at Cognitiv and lead collaborative efforts across the organization to bring this vision to fruition. You will develop performance-critical systems facilitating real-time decision-making for some of the world’s leading brands while contributing to the future of AI in AdTech.This position is foundational and high-impact, presenting a unique opportunity to construct both the system and the team around one of the company’s most strategic technical pillars.What You’ll DoBuild Production AdTech Systems: Design and implement robust software and infrastructure that supports large-scale machine learning models in real-world production settings.Optimize for Performance at Scale: Enhance throughput and latency using a combination of industry-standard frameworks and bespoke solutions tailored to Cognitiv’s requirements.Set the Vision & Influence Execution: Establish the technical direction for inference projects, articulate a clear vision, and motivate teams across the company to align and execute accordingly.Bridge Research to Production: Identify long-term risks and emerging technical innovations, collaborating closely with Research, Product, and Engineering teams to translate ML capabilities into tangible business outcomes.

Be Part of the Financial Revolution.At Robinhood, our mission is to democratize finance for everyone. With an estimated $124 trillion in assets expected to be transferred to younger generations in the next two decades, we find ourselves at the forefront of the largest wealth transfer in history. If you’re ready to shape the future of finance, we want to hear from you.About the Team and RoleJoin our elite team working with cutting-edge technologies to tackle some of the most significant challenges in the financial sector. We seek innovative thinkers and sharp problem-solvers who thrive on making a meaningful impact. At Robinhood, complacency has no place; we empower ambitious individuals to achieve the best work of their careers. Our high-performing and fast-moving team upholds ethics at the core of our operations, and we believe that high expectations lead to high rewards.The Agentic AI team is dedicated to developing intelligent AI systems that enhance customer experiences across Robinhood's range of products. Our focus is on streamlining the deployment of agents with tailored models while empowering other teams to create, assess, and refine their agents. You will be pivotal in cultivating a culture rooted in first-principle thinking, peak performance, and a strong emphasis on customer satisfaction!As a Staff Machine Learning Engineer (IC6), you will set and maintain high standards for agentic systems throughout the organization. Your responsibilities will include designing evaluation frameworks, guiding model selection, and collaborating with product, data science, and engineering teams to ensure that our systems meet rigorous standards for accuracy, safety, responsiveness, and user satisfaction. Your contributions will fundamentally influence the development, assessment, and enhancement of agentic systems across Robinhood!This position is located in Bellevue, WA or Menlo Park, CA, with an expectation of in-office attendance at least three days a week.At Robinhood, we recognize the significance of in-person work in accelerating progress, igniting innovation, and fostering community. Our office environment is thoughtfully designed to be invigorating and fully supportive of high-performing teams.

About the CompanyArmada is an innovative edge computing startup dedicated to providing advanced computing infrastructure to remote locations where connectivity and cloud services are scarce. Our mission is to eliminate the digital divide by deploying cutting-edge technology infrastructure that can be rapidly established in any environment, enabling real-time data processing and AI at the edge. About the RoleWe are looking for a dynamic Lead/Staff Software Engineer to join our Edge organization, where you will be instrumental in shaping the technical vision across our Platform, Security, and Networking domains. This leadership role is perfect for a forward-thinking engineer at the intersection of software, networking, and platform infrastructure.You will define the architectural strategy for the core services that power the Armada Edge Platform, creating the integration framework that connects a hybrid fleet of Azure Local, OpenShift, and Kubernetes clusters globally. In addition, you will oversee the automation software strategy to provision and manage our physical network fabric, ensuring seamless architecture for bootstrapping firewalls and switches alongside our compute nodes. Location: This role is office-based at our Bellevue, Washington office. What You'll Do (Key Responsibilities)Technical Strategy & Leadership: Define and drive long-term technical roadmaps for the Edge organization, ensuring architectural alignment across platform engineering, observability, networking, and security capabilities. Mentor a team of highly skilled engineers, fostering a culture of rigorous engineering excellence.Advanced Edge Orchestration: Architect the next-generation control plane and robust infrastructure services that abstract platform complexity, creating a unified API for deploying to Azure Local, OpenShift, and standard Kubernetes clusters. Direct the engineering of complex, highly scalable Zero-Touch Provisioning (ZTP) workflows for bare-metal compute nodes.Network Systems Architecture: Lead the design of software services in Golang and Python to automate the provisioning and lifecycle management of Juniper SRX firewalls and switches. Champion intent-based networking paradigms, building automated workflows for ZTP of network gear programmatically via Netconf/YANG or XML APIs.Zero-Trust Security Vision: Pioneer the organization's approach to implementing zero-trust security frameworks.

Be a Part of the Financial Revolution.At Robinhood, our mission is to democratize finance for everyone. With an anticipated transfer of $124 trillion in assets to younger generations over the next 20 years, we are positioned at the forefront of this monumental opportunity. If you are eager to contribute to this transformative shift in culture and finance, we want to hear from you.About the Team and RoleWe are assembling an exceptional team dedicated to tackling the most significant challenges in the financial sector using cutting-edge technologies. We seek innovative thinkers, adept problem-solvers, and proactive builders who are motivated to drive meaningful change. Robinhood is not a place for the complacent; it's where ambitious individuals achieve extraordinary results in their careers. Our team operates with high performance in mind, guided by strong ethical principles. The standards are elevated, and so are the rewards.The Agentic team at Robinhood is focused on developing and deploying advanced AI agents that will power the next generation of financial products. Our goal is to swiftly construct, assess, and implement high-functioning AI agents on robust production infrastructures, incorporating thorough evaluations and continuous optimization.This position is based in our Menlo Park, CA and Bellevue, WA offices, with a requirement for in-person attendance at least three days per week.

Oleria Security seeks a Machine Learning and Artificial Intelligence Research Intern for its Bellevue, WA office. This internship centers on projects at the intersection of AI and security, where academic concepts meet practical application. Interns join experienced engineers and researchers to address current security challenges using advanced machine learning methods. Role overview Contribute to projects that use machine learning and AI to solve security-related problems Work closely with team members to design, develop, and test new techniques Build practical skills with tools and methodologies common in the field Learning and development Direct experience applying AI and machine learning within a security context Opportunities to put academic learning into practice on real-world problems Collaboration with a team focused on technology and research

Join us in revolutionizing the financial landscape.At Robinhood, our mission is to democratize finance for everyone. With an estimated $124 trillion in assets expected to be passed down to younger generations in the coming years, this is the largest wealth transfer in history. If you’re ready to be at the forefront of this transformative cultural and financial movement, we want to hear from you.About the Team and RoleWe are assembling an exceptional team dedicated to leveraging cutting-edge technologies to tackle the world's most pressing financial challenges. We seek bold innovators, adept problem-solvers, and passionate builders who are driven to make a significant impact. At Robinhood, complacency has no place; this is where ambitious individuals deliver their best work. Our team thrives on high performance, rapid progress, and a strong ethical foundation. Expectations are high, but so are the rewards.The Streaming Platform team exists to facilitate real-time, dependable, and scalable data streaming across all Robinhood products and infrastructure. We create and maintain essential platforms that enable seamless communication between services and empower streaming analytics throughout the organization. Our systems are indispensable for Robinhood’s ability to develop innovative financial products and provide unparalleled experiences for our customers!Check out some of the exciting projects we're working on:Robinhood’s Use of WarpStream for LoggingRobinhood’s Kafka Journey from EC2 to KubernetesRobinhood’s Kafka ProxyAs a Staff Software Engineer, you will design, develop, and manage distributed systems that underpin core data pipelines and real-time event processing. You will collaborate with engineers across product, data, and machine learning teams to scale our platform, enhance reliability, and improve the developer experience company-wide.This position is based in our Bellevue, WA office, where in-person attendance is expected at least three days a week.At Robinhood, we believe that in-person collaboration fuels progress, ignites innovation, and fosters community. Our office environment is intentionally crafted to be energizing and supportive of high-performance work.

At Databricks, we are dedicated to empowering data teams to address some of the most challenging issues in the world, from detecting security threats to developing cancer treatments. We achieve this by constructing and maintaining the world's leading data and AI infrastructure platform, allowing our clients to concentrate on the critical challenges that define their missions.Our engineering teams create sophisticated products that meet significant global needs. We are continually pushing the limits of data and AI technology while ensuring resilience, security, and scalability that are essential for our customers' success on our platform.Customers entrust Databricks with their most sensitive data, and our Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role in Trust & Safety, safeguarding customer data from malicious threats. We are seeking visionary senior leaders like you to define the strategy for this essential domain.

P-1124 Summary At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems, ranging from security threat detection to cancer drug development. Our mission is realized through the development and operation of the premier data and AI infrastructure platform, allowing our clients to concentrate on the vital challenges central to their objectives. Our engineering teams craft technically sophisticated products that meet significant needs in the world. We consistently advance the frontiers of data and AI technology while maintaining the resilience, security, and scale essential for our customers' success on our platform. Customers place their trust in Databricks with their most critical data, and the Trust & Safety team is committed to establishing the most reliable data analytics and ML platform globally. Security Engineering plays a pivotal role in this mission, safeguarding customer data from malicious threats. We are seeking seasoned leaders like you to shape the vision and define the strategy in this vital area.

About the CompanyArmada is an innovative edge computing startup dedicated to delivering computing infrastructure to remote areas where connectivity is scarce. We aim to facilitate data processing locally for real-time analytics and AI at the edge. Our mission is to bridge the digital divide through advanced technology infrastructures that can be rapidly deployed anywhere. About the RoleAt Armada, we harness the vast potential of AI to revolutionize operations and enhance lives in some of the world's most remote locations. From the expansive Australian mines to the oil fields of Northern Canada and the coffee plantations of Colombia, we present a unique opportunity for AI Engineers to engage with exciting AI and ML challenges on a global scale. We are seeking passionate AI Engineers with hands-on experience in areas such as real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems.The ideal candidates will have robust skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for developing ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Proficiency in containerization, microservices architecture, and the capability to independently deploy ML models into production is essential.If you are a self-motivated individual with a passion for cutting-edge AI, we want to connect with you. Armada provides an unparalleled opportunity to face some of the most thrilling AI and ML challenges globally. Join our dynamic AI Engineering team as we deliver groundbreaking edge-compute systems capable of autonomous learning, prediction, and adaptation using extensive, real-time datasets.We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to interact seamlessly and securely with the complexities of the real world. In doing so, we aim to bridge the digital divide.Location: This role is office-based at our Bellevue, Washington office.

Join our dynamic team as a Staff Database Engineer at Databricks, where you'll play a critical role in designing, implementing, and optimizing our database systems. This is an exciting opportunity to work with cutting-edge technology and collaborate with talented professionals in a fast-paced environment.

Join Armada as a Senior Security Engineer specializing in Infrastructure. In this role, you will play a crucial part in safeguarding our systems and ensuring robust security protocols are in place across our infrastructure. Your expertise will guide our security strategies, working collaboratively with cross-functional teams to enhance our security posture and protect sensitive data.

Join CoreWeave as a Software Engineer in our Data Infrastructure Services team, where you will play a crucial role in building robust data solutions that empower our cloud infrastructure. We are looking for a passionate engineer who thrives in a dynamic environment and is eager to tackle challenging problems. You will collaborate with cross-functional teams to design, develop, and maintain scalable data systems that support our innovative projects. If you have a strong background in software engineering and a keen interest in data infrastructure, we want to hear from you!

Discover OktaAt Okta, we are the leading identity company, empowering individuals to securely access any technology, anywhere, on any device or application. Our versatile products, including the Okta Platform and Auth0 Platform, ensure secure access, authentication, and automation while placing identity at the heart of business security and growth.We value diverse perspectives and experiences at Okta. We seek lifelong learners and individuals who can contribute to our mission with their unique insights. Join us in creating a world where identity is truly yours.We are currently seeking an experienced Staff Software Engineer to join our Auth0 Security Engineering team. In this role, you will design and implement security guardrails for our multi-cloud environment, translating intricate security and compliance standards into programmatic, code-driven policies.

P-940 This position is open to our offices in both Seattle and Bellevue. At Databricks, we are dedicated to empowering data teams to tackle the world's most pressing challenges, from detecting security threats to innovating in cancer drug development. By constructing and managing the globe's premier data and AI infrastructure platform, we enable our clients to concentrate on the critical challenges central to their missions. Founded in 2013 by the original architects of Apache Spark™, Databricks has expanded from a modest office in Berkeley, California to a global powerhouse with over 1,000 employees. We are proud to be one of the fastest-growing SaaS companies, trusted by thousands of organizations ranging from startups to Fortune 100 companies with their most vital workloads. Our engineering teams develop highly technical products that address significant global needs. We continually push the limits of data and AI technology, while ensuring the resilience, security, and scalability essential for our customers' success on our platform. We operate one of the largest-scale software platforms, comprised of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is engineered to seamlessly shield customers from these issues. As a backend-focused software engineer, you will collaborate closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and products. This role involves writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and engaging with cloud APIs (AWS, Azure, CloudFormation, Terraform). Join one of our dynamic teams, such as: Data Science and Machine Learning Infrastructure: Develop services and infrastructure at the nexus of machine learning and distributed systems. Our technology powers the flagship collaborative workspace, notebooks, IDE integrations, and project management tools. We facilitate machine learning at scale with tools for environment management, distributed training, and managing the machine learning lifecycle through MLflow. Compute Fabric: Create the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform in a robust, flexible, and secure manner.

LinkedIn seeks a Distinguished Software Engineer to join the Systems Infrastructure team within Core Infrastructure in Bellevue. This senior role centers on steering essential projects and reinforcing the foundation of LinkedIn’s technology platform. Key responsibilities Lead major systems infrastructure projects with broad impact Shape and enhance the architecture of LinkedIn’s core systems Promote and implement technical innovations that advance the company’s global platform Role impact The work in this position helps keep LinkedIn reliable and scalable for millions of professionals worldwide as the platform continues to grow.

About ArmadaArmada is an innovative edge computing startup focused on providing cutting-edge computing infrastructure to remote regions where cloud connectivity is limited. Our mission is to bridge the digital divide by deploying advanced technology solutions that enable real-time analytics and AI processing at the edge, making a significant impact in diverse environments. The MissionAt Armada, we are pioneering the infrastructure for the next industrial revolution. Our Galleon data centers have successfully delivered AI-grade computing in some of the world’s most challenging environments—from remote mining sites to offshore platforms. Now, we are taking our ambitions further as we develop the Orbital Galleon: a modular, high-performance orbital data center intended for processing vast data loads in Low Earth Orbit (LEO) and beyond.We are searching for a Senior Hardware Engineer with over ten years of experience in server-level hardware and data center components to spearhead the design and component strategy of our orbital compute nodes. About the Role This senior-level position centers on the physical architecture of our space-based servers. You will not merely purchase servers; you will engineer the fundamental components of our orbital assets. Your responsibilities will include selecting silicon, designing custom PCBAs for power delivery, and collaborating with global component manufacturers to adapt terrestrial data center hardware for the unique challenges of space.You will effectively bridge the divide between high-performance Commercial Off-The-Shelf (COTS) hardware and the exceptional reliability required for an environment that cannot be serviced in orbit. Location: Bellevue, WA Key ResponsibilitiesDevelop and execute component strategies for orbital computing hardware.Design and validate custom PCBAs for enhanced power delivery systems.Engage with global suppliers and manufacturers to ensure hardware meets space-grade standards.Innovate solutions for integrating terrestrial technology into orbital infrastructures.

CoreWeave is seeking a Staff Security Engineer with deep experience in PKI and secrets management. This position is key to strengthening the security of our cloud infrastructure across multiple locations, including Livingston, NJ, New York, NY, Sunnyvale, CA, and Bellevue, WA. Role overview This role focuses on designing and implementing secure public key infrastructures (PKI) and managing sensitive secrets across our platforms. The Staff Security Engineer will take the lead on projects that directly impact the integrity and safety of our systems. What you will do Lead the creation and deployment of PKI solutions for cloud environments. Develop and maintain processes for secure secrets management. Work to ensure compliance and reduce security risks as CoreWeave grows. Requirements Expertise in PKI design and secrets management practices. Experience supporting cloud infrastructure security. Ability to lead initiatives and collaborate with technical teams.

Speechify seeks a Software Engineer focused on Data Infrastructure & Acquisition in Bellevue, WA. This position involves developing and refining the data systems that support Speechify’s text-to-speech products. Key Responsibilities Design, implement, and maintain data pipelines that enable product features Collaborate with team members to deliver reliable and scalable data systems Support projects aimed at improving how users access and interact with information Role Impact The work in this role helps make information more accessible to people worldwide. The data infrastructure you build will have a direct effect on both user experience and the capabilities of Speechify’s products.

OverviewAt Databricks, we are dedicated to empowering data teams to tackle the world’s most challenging issues, ranging from security threat detection to cancer drug development. Our mission is to create and maintain the leading data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges central to their missions.Our engineering teams develop sophisticated products that meet significant real-world needs. We consistently push the limits of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success on our platform.Our clients entrust us with their most sensitive data, and the Trust & Safety team is committed to establishing the most credible data analytics and machine learning platform globally. Security Engineering plays a crucial role within Trust & Safety, working diligently to safeguard customer data against malicious threats. We are searching for senior leaders like you to craft the vision and define the strategy for this vital area.