Senior Engineering Manager, ML Platform

Embrace the Future of Commerce with Whatnot!Whatnot stands as North America and Europe’s premier live shopping platform, dedicated to transforming the way you buy, sell, and discover your favorite items. We are on a mission to redefine e-commerce by seamlessly merging community engagement, shopping, and entertainment into a unique experience tailored just for you. As part of a remote, co-located team, we thrive on innovation while being firmly rooted in our core values. With operational hubs across the US, UK, Germany, Ireland, and Poland, we are collaboratively shaping the future of online marketplaces.Our live auctions span a diverse range of categories from fashion and beauty to electronics and collectibles, including trading cards, comic books, and even live plants. There’s truly something for everyone!And this is just the beginning! As one of the fastest-growing marketplaces, we are in search of bold, innovative problem solvers across all functional areas. Stay updated with the latest Whatnot news through our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses, fostering connections through commerce. Your RoleWe are seeking hands-on leaders—intellectually curious and technically proficient individuals ready to influence the future of AI and ML at Whatnot. In this pivotal role, you will spearhead the development and scaling of the foundational infrastructure that supports machine learning and self-hosted large language model applications across our organization. Collaborating closely with machine learning scientists, you will drive the implementation of innovative models powered by near-real-time features, enhancing product experiences. This entails building robust systems that ensure advanced ML is both reliable and efficient at scale—from low-latency deep learning model serving and streaming feature ingestion to distributed training and high-throughput GPU inference. As a managerial role, a strong technical foundation is essential, and potential candidates should be enthusiastic about diving deep into the details. You will elevate architectural discussions, provide insightful technical feedback, and dedicate at least one day a week to coding.Your Responsibilities:Lead the infrastructure supporting AI and ML models across critical business areas, enhancing growth, recommendations, trust and safety, fraud detection, seller tooling, and more.Oversee the prototyping, deployment, and productionization of innovative ML architectures, ensuring they align with our strategic objectives.

About Us:At Parafin, our mission is to empower small businesses to thrive in today's competitive landscape. We understand that small businesses form the backbone of our economy, yet they often face challenges in accessing essential financial resources. Our innovative technology streamlines access to vital financial tools directly on the platforms they already utilize for sales. Partnering with industry leaders such as DoorDash, Amazon, Worldpay, and Mindbody, we provide small businesses with fast, flexible funding, efficient spend management, and effective savings solutions through simple integrations. Parafin manages the complexities of capital markets, underwriting, servicing, compliance, and customer support to ensure seamless experiences for our partners and their small business clients.We are composed of a dynamic team of innovators with backgrounds from top firms like Stripe, Square, Plaid, Coinbase, Robinhood, and CERN, all driven by a passion for developing tools that facilitate small business success. Backed by esteemed venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin stands as a Series C company with over $194M raised in equity and $340M in debt facilities. Join us in shaping a future where every small business has access to the financial tools they need.About The PositionWe are on the lookout for a skilled Software Engineer to join our Infrastructure team and spearhead the advancement of our Machine Learning (ML) Platform. This pivotal role is essential for constructing reliable, scalable, and developer-centric systems for model experimentation, training, evaluation, inference, and retraining that drive underwriting and other ML-powered products for small businesses.As a Software Engineer, you will design, build, and maintain the core frameworks and platforms that empower data scientists to deploy high-quality models into production efficiently and safely. You'll work closely with Data Science and Platform Engineering, taking ownership of the ML platform from end-to-end, and develop both batch and real-time underwriting infrastructure.What You'll DoTransform notebooks into reliable software. Break down data scientist training and inference notebooks into reusable, well-tested components (libraries, pipelines, templates) with clear interfaces and documentation.Develop user-friendly ML abstractions. Create SDKs, CLIs, and templates that simplify the definition of features, model training and evaluation, and deployment to batch or real-time targets with minimal boilerplate.Construct our real-time ML inference platform. Establish and scale low-latency model serving capabilities.Enhance batch ML inference processes. Optimize scheduling, parallelism, cost controls, and observability to improve efficiencies.

At Sciforium, we are at the forefront of AI infrastructure, dedicated to the development of advanced multimodal AI models and an innovative serving platform that emphasizes high efficiency. With substantial funding and direct collaboration from AMD, our team is rapidly expanding to create the complete stack for pioneering AI models and dynamic real-time applications.Role OverviewThis position provides a distinct opportunity to engage with the fundamental systems that drive Sciforium's multimodal AI models. You will play a crucial role in constructing the model serving platform, working with C++, Python, runtime execution, and distributed infrastructure to design a swift, dependable engine for real-time AI applications.You will acquire practical experience in performance engineering, discover how large AI models are optimized and deployed at scale, and collaborate closely with ML researchers and seasoned systems engineers. If you thrive in low-level programming and are passionate about performance, this role offers both impactful contributions and significant growth opportunities.

About Pinterest:At Pinterest, our platform inspires millions of people around the globe to explore creative ideas, envision new possibilities, and create lasting memories. We are dedicated to providing the inspiration needed to build a fulfilling life, starting with the talented individuals who drive our product development.Join us in a career that sparks innovation for millions, transforms passion into opportunities for growth, and celebrates the diverse experiences of our team members, all while enjoying the flexibility to perform at your best. Building a career you love is within reach.Position Overview:We are looking for a Senior Engineering Manager to spearhead our AI/ML Serving Platform team, which develops the core tools and infrastructure utilized by numerous AI/ML engineers across Pinterest. This includes systems for recommendations, advertisements, visual search, notifications, and trust and safety. Our goal is to enhance the efficiency, quality, and speed of AI/ML systems, ensuring they are production-ready and reliable for iterative model development.Key Responsibilities:Lead the team in driving continuous improvements in advanced model architectures, optimizing resource usage, and boosting AI/ML developer productivity.Establish the technical vision for the team aligned with company and organizational priorities.Mentor and cultivate talent within the team.Qualifications:Proven experience in managing engineering teams with diverse cross-organizational clients.Expertise in developing large-scale distributed serving systems.Familiarity with AI/ML inference technologies (e.g., PyTorch, TensorFlow) for web-scale online serving.Bachelor's degree in Computer Science or a related field, or equivalent professional experience.

OverviewPluralis Research is at the forefront of Protocol Learning, innovating a decentralized approach to train and deploy AI models that democratizes access beyond just well-funded corporations. By aggregating computational resources from diverse participants, we incentivize collaboration while safeguarding against centralized control of model weights, paving the way for a truly open and cooperative environment for advanced AI.We are seeking a talented Machine Learning Training Platform Engineer to design, develop, and scale the core infrastructure that powers our decentralized ML training platform. In this role, you will have ownership over essential systems including infrastructure orchestration, distributed computing, and service integration, facilitating ongoing experimentation and large-scale model training.ResponsibilitiesMulti-Cloud Infrastructure: Create resource management systems that provision and orchestrate computing resources across AWS, GCP, and Azure using infrastructure-as-code tools like Pulumi or Terraform. Manage dynamic scaling, state synchronization, and concurrent operations across hundreds of diverse nodes.Distributed Training Systems: Design fault-tolerant infrastructure for distributed machine learning, including GPU clusters, NVIDIA runtime, S3 checkpointing, large dataset management and streaming, health monitoring, and resilient retry strategies.Real-World Networking: Develop systems that simulate and manage real-world network conditions—such as bandwidth shaping, latency injection, and packet loss—while accommodating dynamic node churn and ensuring efficient data flow across workers with varying connectivity, as our training occurs on consumer nodes and non-co-located infrastructure.

About FaireFaire is a transformative online wholesale marketplace, driven by the conviction that local businesses are the future. Independent retailers around the globe generate more revenue than massive corporations like Walmart and Amazon combined, yet individually, they remain small. At Faire, we harness technology, data, and machine learning to connect this vibrant community of entrepreneurs. Think of your favorite local boutique — we empower them to discover and sell the best products from around the world. With our innovative tools and insights, we aim to level the playing field, enabling small businesses to thrive against larger competitors.By championing the growth of independent businesses, Faire positively impacts local economies on a global scale. We’re in search of intelligent, resourceful, and passionate individuals to join us in fueling the shop local movement. If you value community, we invite you to be part of ours.About this RoleAs the Senior Staff Machine Learning Platform Engineer, you will spearhead the technical vision and evolution of Faire's ML platform. You will establish standards, influence organization-wide architecture, and lead intricate, cross-functional initiatives that enhance data science velocity at scale. This position is crucial for adapting ML workflows to leverage modern AI productivity tools. You will not only develop models but also design the systems that enable those models to empower tens of thousands of small retailers in competing and growing their local businesses.

Join Pinterest:At Pinterest, we empower millions globally to discover creative ideas, envision new possibilities, and curate lasting memories. Our mission is to inspire everyone to create a life they love, driven by the talented individuals behind our innovative platform.Embark on a career where you can fuel innovation for millions, transform your passions into growth opportunities, value diverse experiences, and enjoy the flexibility to thrive. Building a career you love? It’s absolutely achievable!At Pinterest, AI is not just an enhancement; it’s a critical partner enhancing creativity and expanding our reach. We seek candidates eager to embrace this journey. Throughout our interview process, we prioritize your ability to articulate your thought processes, showcasing not only your knowledge but also your collaborative skills with AI. Discover more about our AI interview philosophy and its role in our recruitment process here.The Team:As a Technical Program Manager at Pinterest, you will take ownership with a proactive approach and technical acumen. The Platform Team oversees program governance in Infrastructure, Infra Finance, Data Engineering and Security, Compliance, and cloud budget management.Your Responsibilities:As a Staff Technical Program Manager with a focus on cross-engineering projects, you will lead strategic initiatives vital to enhancing Pinterest’s ML/AI Platform and foundational infrastructure.Lead Strategic ML/AI Platform Programs: Champion and execute high-impact, cross-engineering initiatives essential for advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform, ensuring outcomes from initial concept through measurable execution.AI-First Execution Mindset: Employ GenAI as the primary model for program execution, producing AI-assisted drafts of core program documents and modernizing high-effort workflows.

About tvScientific tvScientific is the premier CTV advertising platform exclusively tailored for performance marketers. Our innovative approach harnesses vast data and state-of-the-art science to automate and enhance TV advertising, ultimately driving impactful business results. Our platform seamlessly integrates media buying, optimization, measurement, and attribution into one powerful, efficient solution. Developed by industry veterans with extensive backgrounds in programmatic advertising, digital media, and ad verification, our CTV performance platform is designed to help advertisers confidently scale their business. We are currently seeking a Senior MLOps Engineer to join our dynamic, distributed engineering team focused on our Connected TV ad-buying platform, as we expand our Machine Learning capabilities. Having successfully optimized TV ad campaigns, we are poised for massive growth, and we need your expertise to ensure our scalability is both sustainable and effective. As a proud member of Idealab, tvScientific was co-founded by leaders deeply rooted in programmatic advertising and digital media. We empower our clients to purchase ads across the expansive CTV landscape, including platforms such as Hulu, PlutoTV, and the ad-supported tiers of Disney+ and HBO Max. Following our acquisition by Pinterest, we are intensifying our focus on CTV to enhance the performance of search and social advertising.

About UsAt Lemurian Labs, we are dedicated to democratizing AI technology while prioritizing sustainability. Our mission is to create solutions that minimize environmental impact, ensuring that artificial intelligence serves humanity positively. We are committed to responsible innovation and the sustainable growth of AI.We are in the process of developing a state-of-the-art, portable compiler that empowers developers to 'build once, deploy anywhere.' This technology ensures seamless cross-platform integration, allowing for model training in the cloud and deployment at the edge, all while maximizing resource efficiency and scalability.If you are passionate about scaling AI sustainably and are eager to make AI development more powerful and accessible, we invite you to join our team at Lemurian Labs. Together, we can build a future that is innovative and responsible.The RoleWe are seeking a Senior ML Performance Engineer to take charge of designing and leading our Performance Testing Platform from inception. In this pivotal role, you will be recognized as the technical expert in measuring, validating, and enhancing the performance of large language models (including Llama 3.2 70B, DeepSeek, and others) prior to and following compiler optimization on cutting-edge GPU architectures.This is a critical position that will significantly impact our product quality and customer success. You will work at the intersection of Machine Learning systems, GPU architecture, and performance engineering, constructing the infrastructure that substantiates the value of our compiler.

About CrunchyrollFounded by passionate fans, Crunchyroll is at the forefront of delivering the vibrant art and culture of anime to an enthusiastic global community. We cater to over 100 million anime and manga aficionados across 200+ countries and territories, enabling them to engage with the beloved stories and characters they adore. Our offerings span across various mediums including streaming video, theatrical releases, games, merchandise, events, and more—all powered by the rich anime content that unites us.Join our dedicated team and play a pivotal role in shaping the future of anime entertainment!About the TeamThe Platform Development organization is the backbone of Crunchyroll's core access and security platform. This sophisticated framework encompasses authentication, authorization, notifications, and AI runtimes, empowering other teams to construct fan-centric features atop a solid, compliant, and versatile foundation.Our mission is to ensure reliable and secure access for fans across a multitude of devices and partners, seamlessly integrating access services with data and compliance orchestration. We strive to evolve notifications and AI inference into reusable platform capabilities that hasten the launch of products and partnerships. Our collaborative efforts span across product, data, security, client engineering, video, and service monetization teams to deliver exceptional experiences to millions of anime enthusiasts worldwide.About the RoleAs the Senior Manager of Platform Engineering, reporting to the VP of Platform Engineering, you will lead a dynamic team of software engineers responsible for building and operating the essential services that govern fan access at Crunchyroll. This includes overseeing login, identity management, authorization, partner authentication, compliance-centered account flows, notifications, and AI runtimes.Your leadership will be instrumental in defining the team's strategy and execution, driving the transformation of legacy authentication and Identity and Access Management (IAM) into safer, more efficient platform services. You will work on stabilizing and evolving our notification systems toward a unified orchestration layer and collaborate closely with our data team to establish the groundwork for a shared AI inference platform. Drawing on your engineering and leadership expertise, you will elevate our standards for architecture, reliability, security, and delivery while nurturing a high-performing, inclusive team that embodies Crunchyroll's values.We welcome applications from candidates within the San Francisco Bay Area.

At Runway ML, we are revolutionizing the intersection of art and science through innovative AI technology. Our mission is to build sophisticated world models that transcend traditional artificial intelligence limitations. We believe that to tackle the most pressing challenges—such as robotics, disease, and scientific breakthroughs—we need systems that can learn from experiences just like humans do. By simulating these experiences, we can expedite progress in ways that were previously unimaginable.Our diverse and driven team consists of creative thinkers who are passionate about pushing boundaries and achieving the extraordinary. If you share this ambition and are eager to contribute to our groundbreaking work, we invite you to join us.About the Role*We are open to hiring remotely across North America. We also have offices in NYC, San Francisco, and Seattle.We are on the lookout for a highly skilled and intellectually inquisitive Technical Accounting Manager to be our go-to authority on intricate accounting issues. This position offers significant visibility and is ideal for a professional adept at interpreting complex accounting guidelines, formulating sound conclusions, and translating technical insights into practical accounting practices.

Join Mixpanel as a Senior Engineering Manager for our Product Platform team, where you will lead a talented group of engineers in the design and development of innovative solutions that enhance user experience and drive business growth. You will be instrumental in shaping the future of our product offerings while fostering a collaborative and inclusive team culture.

About Scribd:At Scribd Inc. (pronounced “scribbed”), we ignite human curiosity through the power of storytelling and knowledge sharing. Our mission is to democratize the flow of ideas and information, empowering collective expertise through our suite of products: Everand, Scribd, Slideshare, and Fable. Join us in reshaping the landscape of digital content.We are proud to have an open position within our innovative team.Our culture encourages authenticity and boldness, fostering an environment where we engage in meaningful debates and embrace change. Every team member is empowered to take initiative as we focus on delivering exceptional experiences for our customers.We value the balance between individual flexibility and communal connections. With our flexible work benefit, Scribd Flex, employees collaborate with their managers to choose a daily work style that aligns with their personal needs. This initiative also emphasizes the importance of intentional in-person interactions to cultivate collaboration, culture, and connection. Therefore, occasional in-office attendance is expected from all Scribd employees, regardless of their location.We seek individuals who embody “GRIT” - a blend of passion and perseverance towards long-term goals. At Scribd, we are inspired by the potential this mindset unlocks, encouraging every employee to adopt a GRIT-ty approach in their work. In practical terms, GRIT represents our standards: setting and achieving Goals, delivering Results, fostering Innovation, and promoting a positive Team atmosphere through collaboration.About the Role:As a Senior Engineering Manager within our Growth Platform team at Scribd, you will play a pivotal role in shaping our growth strategy. You will lead a talented team dedicated to building innovative systems and integrations that enhance user acquisition, onboarding, retention, and lifecycle marketing across our brands. Your leadership will be crucial in developing tools for campaign management, tracking, attribution, and audience segmentation.

Role overview ditto is seeking a Senior Platform Engineer, Operator for a fully remote role. This position is open to candidates located in Atlanta, Austin, San Francisco, or Seattle. The focus is on designing, building, and maintaining systems that keep company operations running smoothly and efficiently at scale. What you will do Design and implement systems that improve platform scalability, performance, and reliability. Maintain and enhance the existing infrastructure to support ongoing business operations. Work closely with cross-functional teams to address technical challenges and streamline processes. Use technical expertise and leadership to drive key platform initiatives. Requirements Extensive experience in platform engineering. Strong problem-solving abilities and a collaborative mindset. Proven ability to contribute technical insights and lead engineering projects. Location This is a remote position. Candidates must be based in Atlanta, Austin, San Francisco, or Seattle.

At NerdWallet, we are committed to empowering individuals to make informed financial decisions. Our team comprises exceptional individuals who thrive in an inclusive, flexible, and candid environment. Whether you choose to work remotely or in the office, we prioritize your well-being, professional development, and the impact you can make. We believe that when one of us elevates our skills, the whole team benefits.As part of NerdWallet’s Platform team, you will oversee the systems that serve as the backbone of our consumer experience. This includes management of our centralized product data platform, partner ingestion pipelines, publishing and click-tracking infrastructure, GraphQL gateway operations, and our high-traffic, headless WordPress CMS. These platforms deliver precise, compliant, and high-performance product and content experiences to millions of users on both web and mobile platforms. We are searching for a Senior Engineering Manager to lead this team in modernizing legacy services into scalable and reliable systems while advancing our vision of a decoupled, adaptable platform that facilitates quicker publishing, enhanced observability, and future growth.In the role of Senior Engineering Manager for Platform Systems, you will guide and support a team of engineers in delivering high-quality, scalable, and secure software that aligns with NerdWallet’s product and business objectives. You will collaborate closely with Product Managers and other cross-functional partners to define the roadmap, prioritize tasks, and eliminate obstacles, while nurturing strong engineering practices and a culture of continuous improvement. Your responsibilities will include ensuring technical quality, team well-being, and daily operations, while mentoring engineers, making strategic technical decisions, and balancing immediate deliverables with long-term sustainability, compliance, and reliability.This position reports to the Director of Engineering.Opportunities for Impact:Lead, mentor, and develop a high-performing engineering team responsible for NerdWallet’s platform systems, including the Content Platform, CMS, and Product Data Platform.Collaborate with Product Managers and cross-functional teams to strategize, prioritize, and execute the product roadmap.Champion consistent adherence to software development best practices, including code quality, testing, documentation, and operational excellence.Influence and guide technical and architectural decisions to ensure solutions are scalable, secure, reliable, and compliant with regulatory standards.Balance immediate project needs with long-term project vision and maintainability.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging issues, from realizing the next generation of transportation to expediting medical advancements. Our mission involves constructing and managing the premier data and AI infrastructure platform, enabling our clients to leverage profound data insights to enhance their operations. The Workspace Platform team is embarking on an ambitious journey to scale our customer base by 100x and support the evolution of agentic AI workloads. Our objective is to create a unified, consistent, and foundational Shared Platform that enhances the overall Databricks Workspace experience. As a Senior Engineering Manager within the Workspace Platform team, you will spearhead the development of a cohesive infrastructure that underpins vital customer-facing functionalities across various Databricks products. These include Content Discovery (similar to Google Search), Content Organization (akin to Google Drive), collaborative code editing, and repository management (comparable to GitHub). This is a high-impact opportunity to lead a team of approximately 20 software engineers in developing platform features, intuitive workspace experiences, and essential partner integrations that are pivotal to Databricks' growth and user adoption.

Your Impact at Lila Lila Sciences is on the lookout for a dynamic and seasoned engineering leader to spearhead our product data platform team. You will take full ownership of the data platform and its underlying infrastructure — encompassing architecture, delivery, reliability, and the user experience for developers and data scientists. Our mission is to unleash Scientific Super Intelligence by providing a dependable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction. This empowers AI/ML, product teams, and scientists to efficiently create data-driven applications with speed and confidence. Our platform is designed to handle analytical and machine learning workloads across Lila, facilitating autonomous DBTL cycles, instrument data pipelines, and AI inference workflows. As the Director, you will build and lead a team of skilled engineers, drive technical strategy, and ensure the scalability and performance of our data management and serving capabilities. You will collaborate closely with data scientists, data engineers, lab scientists, and product teams to gather insights into their needs and deliver innovative solutions that harness cutting-edge data processing technologies. What You'll Be Building Team Leadership: Develop, mentor, and oversee a high-performing team of 8-12 data engineering experts. Assess and implement modern data infrastructure - incorporating real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house architecture, and cloud-native object storage. Cultivate a collaborative, innovative culture focused on continuous improvement. Provide technical mentorship to team members, supporting their professional development; conduct performance reviews, offer feedback, and identify training opportunities. Manage team workloads, prioritize projects, and ensure the timely delivery of high-quality solutions. Technical Strategy and Execution: Define and implement the technical roadmap for our data platform, aligning with Lila’s overarching data strategy. Foster innovation within the data Lakehouse and data serving ecosystem by exploring new technologies and methodologies to enhance usability, performance, scalability, and efficiency. Ensure the reliability, availability, and security of our data processing infrastructure. Collaborate with other engineering teams to integrate our data processing technologies with additional Lila systems and services. Stakeholder Management: Collaborate with data scientists, data engineers, lab scientists, product managers, and other stakeholders to understand their data processing needs and requirements. Effectively communicate technical concepts and solutions to both technical and non-technical audiences. Advocate for best practices in data processing and engineering.

At Fastly, we empower individuals to maintain meaningful connections with the things they cherish. Our cutting-edge edge cloud platform allows customers to deliver exceptional digital experiences with speed, security, and reliability by processing and securing applications as close to end-users as possible — right at the edge of the Internet. Our platform is engineered to harness the potential of the modern internet, enabling programmability and supporting agile software development. We proudly serve some of the world's most influential companies, including GitHub, Yelp, Paramount, and JetBlue.Join us in building a more trustworthy Internet.Posting Open Date: Reposted March 30, 2026Anticipated Posting Close Date*: April 20, 2026*This job posting may close earlier due to high applicant volume. Senior Principal Engineer, Platform EngineeringAs a member of Fastly’s Platform Engineering team, you will be instrumental in establishing the essential frameworks that enable engineers to deliver quickly, safely, and at scale. In the role of Senior Principal Engineer, you will guide the technical direction and spearhead cross-organizational initiatives aimed at enhancing our platform, developer experience, and operational excellence. Collaborating closely with fellow engineers, you will work to eliminate friction, standardize best practices, and create paved roads to expedite product delivery. This is a highly collaborative and hands-on position, representing the Platform Engineering organization and reporting directly to the Senior Director of Engineering.

Okta, Inc. is seeking a Senior Client Platform Engineer to join its San Francisco office. This position centers on managing and securing the company’s Apple device fleet, while also contributing to endpoint management across Windows and Linux platforms. Team and Impact The Technology, Data, and Insights (TDI) team at Okta drives company-wide scalability. Engineers here focus on automation, rigorous testing, and performance improvements that shape the daily experience for every Okta employee. The Senior Client Platform Engineer plays a key role in maintaining a seamless and secure environment throughout the organization. What You Will Do Apple Fleet Management: Oversee global macOS and iOS device management using Jamf Pro. This includes device enrollment, configuration profiles, and application deployment. Automation and Tools: Apply expertise with Jamf Pro and open-source tools such as Munki and Santa. Use unified solutions like FleetDM to bridge multiple platforms. Cross-Platform Support: Support and help secure Windows environments (with Intune) and Linux systems as part of Okta’s endpoint management approach. Customer Zero: Collaborate with Product and Engineering teams to test new identity and device management features, provide actionable feedback, and influence tools used by millions. Role Details This position reports to the Senior Manager of Client Platform Engineering. The role is well suited to an engineer looking to deepen expertise in the Apple ecosystem while expanding influence across other operating systems.

Be a Part of the Revolution in E-Commerce with Whatnot!Whatnot stands as the leading live shopping platform across North America and Europe, where you can buy, sell, and explore the items you cherish. We are transforming the landscape of e-commerce by merging community engagement, shopping, and entertainment into a unique experience tailored just for you. As a remote-first team, we are driven by innovation and firmly rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collaboratively crafting the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards, comic books, and live plants, our live auctions cater to a diverse audience.And this is just the beginning! As one of the fastest-growing marketplaces, we are on the lookout for innovative, forward-thinking problem solvers in all areas of our business. Stay updated with the latest from Whatnot through our news and engineering blogs, and join us in empowering individuals to transform their passions into successful ventures while fostering community through commerce. The RoleWe are seeking passionate builders—intellectually curious, entrepreneurial engineers who are ready to pioneer the future of AI and ML at Whatnot. You will be responsible for designing and scaling the foundational infrastructure that supports machine learning and self-hosted large language model applications throughout the organization. Collaborating closely with machine learning scientists, you will facilitate the deployment of cutting-edge models into production, creating entirely new product experiences. Your work will involve constructing systems that ensure advanced machine learning is reliable and efficient at scale—from low-latency model serving to distributed training and high-throughput GPU inference.Your Responsibilities:Lead the infrastructure that powers AI and ML models across vital business domains—enhancing growth, trust and safety, fraud detection, seller tools, and more.Prototype, deploy, and operationalize innovative ML architectures that significantly influence user experience and marketplace dynamics.Design and scale inference infrastructure capable of managing large models with minimal latency and maximal throughput.Construct distributed training and inference pipelines utilizing GPUs, as well as model and data parallelism.Push the boundaries of your expertise and explore new technologies and methodologies.