Machine Learning Platform Engineer at Whatnot, focusing on building and scaling the core infrastructure for AI and ML models, including LLM applications, low-latency serving, distributed training, and GPU inference.

Seeking an LLM Platform Engineer to design and scale the core infrastructure for large language model applications at Whatnot. This role involves building systems for retrieval, grounding LLM responses, developing evaluation frameworks, and implementing feedback pipelines to bring AI into production for various business surfaces like growth, recommendations, trust and safety, and fraud.

Lead the development and scaling of core ML infrastructure, including low-latency model serving, streaming feature ingestion, distributed training, and high-throughput GPU inference, to power AI/ML applications at consumer scale. This role involves hands-on coding, architectural guidance, and empowering ML scientists.

Seeking an LLM Platform Engineer to build and scale the core infrastructure for large language model applications at Whatnot. This role involves designing and deploying RAG systems, developing LLM evaluation frameworks, and creating human-in-the-loop feedback pipelines to integrate AI into critical business functions like growth, recommendations, trust and safety, and fraud.

Seeking an ML Infrastructure Engineer to design and scale core infrastructure for ML and LLM applications, focusing on low-latency serving, distributed training, and high-throughput GPU inference to productionize cutting-edge models.

Machine Learning Engineer focused on fraud detection and prevention for a livestream shopping platform. The role involves designing, training, and deploying ML models (traditional and LLM-powered), building intelligent user graphs, developing data pipelines and real-time inference systems, conducting data analysis, and implementing model monitoring. Collaboration with cross-functional teams and staying ahead of emerging fraud tactics are key.

Senior Engineering Manager, ML Platform at Whatnot, a livestream shopping platform. This role focuses on leading the development and scaling of core infrastructure for machine learning and self-hosted LLM applications. Responsibilities include building low-latency model serving, streaming feature ingestion, distributed training, and high-throughput GPU inference systems. The role requires strong technical depth, hands-on coding, and managing production ML systems at consumer scale.

Machine Learning Engineer focused on driving top-of-funnel growth and first-time buyer success for a livestream shopping platform. This role will build and own ML models for personalization in onboarding and user targeting, impacting buyer growth and first-time user conversion.

Machine Learning Engineer focused on driving top-of-funnel growth and first-time buyer success for a livestream shopping platform. This role will build and own ML models for personalization in onboarding and user targeting, impacting buyer growth and first-time user conversion.

Software Engineer focused on building AI development tools and infrastructure to enhance engineering productivity and enable autonomous agent capabilities within the company's codebase and processes. This role involves designing sandboxed environments, orchestration systems, and AI-aware infrastructure, acting as a primary interface between the Developer Tools team and the AI Tooling Working Group.

Software Engineer to build and own AI tooling for the engineering organization, focusing on AI coding agents and assistants. This role involves building infrastructure, workflows, and orchestration systems for AI agents to operate within the company's codebase and processes, enabling both engineers and non-engineers to leverage AI tools effectively. The role requires strong software engineering skills and familiarity with current AI development tools.

This role focuses on building and scaling the feature ingestion and storage infrastructure that powers both core business logic and ML applications at Whatnot. The engineer will work with ML scientists to leverage near-real-time signals for critical business surfaces like growth, recommendations, trust and safety, and fraud. Key responsibilities include designing and evolving real-time feature pipelines for online and offline stores, optimizing system performance, and empowering scientists with abstractions and tools for near-real-time features. The role requires experience with production ML systems, software engineering for consumer-scale loads, Python, and various databases and cloud platforms.

Machine Learning Engineer role focused on building and deploying ML models for personalized navigation, search, and recommendations on a livestream shopping platform. The role involves end-to-end ML project lifecycle, from data to production, and requires experience in applied ML fields like search and recommendations.

Machine Learning Engineer focused on designing, training, and deploying ML models and systems for fraud detection and prevention in a high-volume marketplace. This includes building user graphs, real-time inference systems, and monitoring, with a strong emphasis on end-to-end ownership and integrating ML into fraud orchestration.

Machine Learning Engineer on the Discovery Content and Navigation team, focusing on building and deploying ML models for personalized navigation, search, and recommendations in a high-growth consumer marketplace. The role involves end-to-end project ownership, from data collection to production deployment and experimentation, with a strong emphasis on applied ML methods for consumer-scale data.

Software Engineer role focused on building and scaling the Discovery Platform, including recommendation systems, feed, browse, and search functionalities. This involves integrating retrieval, machine learning ranking, real-time processing, and content understanding to create a personalized discovery experience for a live shopping marketplace.

Software Engineer role focused on building and deploying ML-driven systems for fraud detection, prevention, and intervention in a real-time, high-volume marketplace. Responsibilities include developing intelligent user graphs, training and deploying traditional ML and LLM models, creating scalable data pipelines, and implementing human-in-the-loop systems to adapt to evolving fraud tactics.

Software Engineer for Whatnot's Trust & Risk team, focusing on building and iterating on production algorithms and infrastructures to mitigate systemic risks, safeguard users, and prevent abuse. The role involves designing event-driven pipelines for real-time threat response, balancing risk with user experience, and collaborating across teams to continuously evolve defenses against emerging abuse patterns. Experience with machine learning, behavioral analysis, and data warehouses is preferred.

Software Engineer role focused on building systems for trust, risk, fraud, and integrity within a consumer marketplace. The role involves designing and developing production algorithms and infrastructures to mitigate systemic risks, protect users, and prevent abuse. It requires experience in event-driven pipelines, detection frameworks, and a data-driven mindset, with a preference for experience in Trust and Risk or Fraud domains. Explicit data science or machine learning experience is a plus.

Software Engineer role focused on building and deploying ML-driven systems for fraud detection, prevention, and intervention in a livestream shopping marketplace. Responsibilities include developing intelligent user graphs, training and deploying traditional ML and LLM models, creating scalable data pipelines, real-time inference systems, and human-in-the-loop systems for continuous refinement. The role emphasizes analyzing behavioral and adversarial data to identify emerging fraud trends and evolving systems to combat them.

Fullstack Engineer for Whatnot's Trust and Risk team, focusing on building systems for policy enforcement, dispute resolution, and intelligent detection/prevention of abuse using ML and behavioral analysis. The role involves developing features to ensure a safe and trustworthy marketplace.

Fullstack Engineer role focused on seller growth, involving building systems for fraud detection, identity verification, seller enrichment pipelines, and A/B testing. The role also involves creating scalable data pipelines and growth systems. While not directly building core AI models, the role leverages and builds systems that incorporate predictive models and signals for seller routing and risk assessment, indicating an AI-adjacent function within a consumer marketplace.

Software Engineer, Data at Whatnot, responsible for the retrieval platform powering next-gen systems. Focuses on defining technical direction, leading development, and ensuring scalability and performance. Integrates data systems, optimizing machine learning, real-time analytics, stream processing, and content understanding.

Software Engineer, Horizontal Ops at Whatnot, a livestream shopping platform. The role involves building internal operations tooling, including a workflow engine for intelligent, automated resolutions and AI-powered automations to help ops teams work faster and more reliably. Focus on backend systems, scaling infrastructure, and translating business problems into technical solutions.

Software Engineer, CX at Whatnot, a livestream shopping platform. This role focuses on building a world-class Customer Support platform, including user-facing experiences, scaling internal infrastructure, and designing intelligent AI-powered automations to handle a high volume of customer issues. The engineer will lead solutions end-to-end, translating business problems into technical solutions and driving delivery.

Software Engineer, CX at Whatnot, a livestream shopping platform. This role focuses on building a world-class Customer Support platform, including user-facing experiences, scaling internal infrastructure, and designing AI-powered automations to handle customer issues. The engineer will lead solutions end-to-end, translating business problems into technical solutions and driving delivery.

Software Engineer, Horizontal Ops at Whatnot, focusing on building internal operations tooling and AI-powered automations for customer support and trust & safety workflows. The role involves developing a workflow engine for intelligent, automated resolutions at scale.

Data Scientist focused on risk and fraud detection for a livestream shopping platform. The role involves translating data into actionable recommendations, defining KPIs, analyzing existing methods, partnering with ML engineers to develop anti-fraud practices, designing and evaluating experiments, developing causal inference frameworks, building data products, and collaborating cross-functionally to shape fraud strategy. Requires advanced SQL, Python/R, A/B testing, and causal inference experience.

Software Engineer, Logistics Platform at Whatnot. This role focuses on building and improving backend systems, APIs, and internal platform interfaces for logistics workflows. Responsibilities include data quality, shipment state normalization, observability, and operational debugging. The role emphasizes product-minded platform work with external impact on buyer/seller experience and operational efficiency. The engineer will partner with various teams to solve real-world logistics problems and improve data correctness and timeliness. A thoughtful approach to AI usage in engineering is encouraged.

This role focuses on building and scaling the feature ingestion and storage infrastructure that powers both core business logic and ML applications. The engineer will work on real-time feature pipelines, optimize system performance, and empower ML scientists to iterate faster by building abstractions and tools. The goal is to enable faster ML model responses to marketplace dynamics and scale AI across the ecosystem.

Data Scientist focused on risk and fraud detection for a livestream shopping platform. The role involves translating data into actionable recommendations, defining KPIs, analyzing existing methods, partnering with ML engineers to develop anti-fraud practices, designing and evaluating experiments, developing causal inference frameworks, building data products, and collaborating cross-functionally to shape fraud strategy. Requires advanced SQL, Python/R, A/B testing, and causal inference experience.

Lead Backend Engineer for the Customer Experience Platform team, responsible for building a world-class Customer Support platform. This includes developing user-facing experiences, scaling infrastructure, and designing intelligent AI-powered automations to handle high volumes of customer issues. The role involves end-to-end solution ownership, translating business problems into technical solutions, and driving delivery and experimentation.

Software Engineer on the Seller Growth Platform pod responsible for designing and building systems that sit at the heart of the new seller funnel. This includes developing and scaling systems for identity verification, fraud detection, and automated trust/risk reviews, as well as powering accurate seller identification through enrichment data, signals, and predictive LTV models. The role also involves creating scalable infrastructure like reusable trust and reputation systems and modular fraud prevention frameworks, and driving long-term seller success by enabling better bucketing of sellers by value and risk profile.

Software Engineer for the Search team at Whatnot, responsible for building the best search experience for users to find relevant content (streams, products, community). Focuses on taxonomy, search/filters, retrieval/ranking algorithms, and content understanding, using data-informed decisions and shipping quickly. Experience in applied statistical and machine learning fields like Search, Recommendations, Fraud, and Experimentation is required.

Software Engineer for Whatnot's Discovery Feed & Personalization team, focusing on building and scaling backend systems for recommendation and exploration features. The role involves shipping product features, maintaining low-latency feed experiences, enabling exploration systems for sellers, and partnering with ML teams. Requires experience in discovery-related fields and building scalable backend systems.

Software Engineer, Video role at Whatnot, focusing on enhancing the platform's video quality and introducing tools to maximize engagement and sales for sellers. Responsibilities include building a video recording pipeline, developing seller tools for livestream interaction, and evaluating new video providers. Requires experience with scaled WebRTC systems and AWS/DevOps.

Software Engineer, Video role at Whatnot, focusing on building and enhancing the platform's video and livestream capabilities. This includes implementing measurement and observability, developing a video recording pipeline, and creating seller tools to improve user engagement and sales. The role also involves advancing video features, informing long-term video strategy, and evaluating new video providers.

This role is for a Data Scientist focused on Finance at Whatnot. The primary responsibilities include partnering with business stakeholders to identify improvements, acting as the data owner for finance functions, building data products and dashboards, analyzing business drivers for margin improvements, and collaborating on data engineering for financial datasets. The role requires expertise in data tooling, visualization, business intelligence, and expert-level SQL, with a background in finance or fintech.

Data Scientist focused on finance functions, responsible for data ownership, building production-quality data products, dashboards, and KPIs, analyzing business drivers for margin improvement, and collaborating on data engineering for financial datasets. Requires expertise in data tooling, visualization, business intelligence, expert SQL, and a background in finance or fintech.

This role is for a Customer Experience Agent at Whatnot, a livestream shopping platform. The primary responsibilities include interacting with buyers and sellers, resolving customer issues related to payments, orders, and shipments, and improving the overall customer experience. The role requires a customer-first attitude, problem-solving skills, and understanding of e-commerce operations. Availability for an overnight shift and weekend work is necessary.

Data Scientist role focused on finance functions, including accounting, tax, profitability, and business drivers. Responsibilities include building data products, dashboards, and KPIs, collaborating on data engineering, and analyzing cross-functional initiatives to improve contribution margin. Requires expertise in data engineering, analytics engineering, SQL, and BI tools, with a background in finance or fintech.

Android Engineer role focused on building and shipping high-quality Android features for Whatnot's livestream shopping platform, specifically within the Seller Growth and Inventory teams. The role involves designing and building mobile experiences that impact seller and buyer engagement, using Kotlin and Jetpack Compose, and collaborating cross-functionally.

Engineering Manager for Whatnot's Buyer Engineering team, focusing on the end-to-end buyer experience. This role will lead a full-stack team to scale the 'Seller Provided Support' initiative, integrating with messaging, payments, and logistics to build intelligent tooling for sellers to resolve post-purchase issues. The goal is to drive adoption, reduce refund rates, and improve customer satisfaction.

Engineering Manager for Customer Experience at Whatnot, focusing on scaling the Seller Provided Support (SPS) initiative. This role involves owning the end-to-end buyer and seller support experience, including developing intelligent tooling for issue resolution, integrating with various systems (messaging, payments, logistics), and driving business outcomes like reduced refund rates and improved CSAT. The role requires strong leadership, product development, and technical strategy skills, with a focus on delivering a cohesive and excellent user experience for a rapidly growing marketplace.

Engineering Manager for the Buyer Experience team at Whatnot, focusing on scaling Seller Provided Support (SPS) to enable sellers to resolve post-purchase issues. This role involves end-to-end ownership of business outcomes, technical strategy, and execution for a full-stack team, aiming to reduce refund rates and improve customer satisfaction.

Whatnot is seeking a Senior Recruiter for APAC to manage end-to-end recruiting for Business and Technical roles. This role involves partnering with hiring managers, sourcing talent, managing the full recruitment cycle, and building scalable recruiting processes. The ideal candidate has experience hiring across multiple functions at high-growth startups and a strong focus on candidate experience and diversity.

This role is for a Business Recruiter in Germany to manage end-to-end recruiting for GTM, Marketing, Comms, Policy, and other teams at Whatnot, a fast-growing livestream shopping platform. The recruiter will partner with hiring managers, source talent, manage full-cycle recruiting, develop hiring plans, iterate on candidate feedback, mentor peers, build scalable processes, and emphasize diversity. Experience hiring across GTM, Sales, and/or Marketing in high-growth startups is required.

This role focuses on implementing and maintaining IT systems, corporate applications, and A/V infrastructure. While it mentions exploring AI chatbots for IT operational efficiencies, the core responsibilities are in traditional IT systems management, automation, security compliance, and event A/V support, not in building or directly deploying AI/ML models.