Senior ML Ops Engineer

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.

HeartFlow, Inc. is at the forefront of medical technology, innovating the diagnosis and management of coronary artery disease—the leading cause of death globally—through state-of-the-art technology. Our flagship offering, the HeartFlow FFRCT Analysis, is an AI-powered, non-invasive cardiac test that adheres to the ACC/AHA Chest Pain Guidelines. It generates a detailed, color-coded 3D model of a patient’s coronary arteries, illustrating the implications of blockages on heart blood flow. HeartFlow stands as the premier AI-based non-invasive integrated heart care solution throughout the CCTA pathway, assisting clinicians in identifying coronary artery stenoses (RoadMap™ Analysis), evaluating coronary blood flow (FFRCT Analysis), and characterizing and quantifying coronary atherosclerosis (Plaque Analysis). Our expanding range of products and dedicated team are committed to transforming precision heart care.As a publicly traded entity (HTFL), HeartFlow has garnered international acclaim for its groundbreaking contributions to healthcare innovation, receiving endorsements from medical societies globally. We are cleared for use in the US, UK, Europe, Japan, and Canada, having positively impacted over 500,000 patients worldwide.We are currently seeking an enthusiastic Software Engineering Intern to join our Machine Learning (ML) Engineering and MLOps team at our San Francisco office. In this role, you will collaborate with experienced engineers and research scientists on a defined project that contributes to HeartFlow's transition towards a cloud-native, unified ML pipeline. This internship will provide you with hands-on experience in cardiac AI technologies, software architecture, and validation methodologies essential for running algorithms at scale. You will be assigned to a project encompassing computational geometry, microservices, and inference pipeline architectures.

ML Ops Engineer — Agentic AI Lab (Founding Team)Location: San Francisco Bay AreaType: Full-TimeCompensation: Competitive salary + meaningful equity (founding tier)At fabrion, supported by 8VC, we are assembling a premier team to address one of the industry's most significant infrastructure challenges.About the RoleJoin our AI Lab as we advance the future of intelligent infrastructure through pioneering open-source LLMs, agent-native pipelines, retrieval-augmented generation (RAG), and knowledge-graph-grounded models. We seek an ML Ops Engineer who will serve as the vital link between ML research and production systems, taking charge of automating the model training, deployment, versioning, and observability pipelines that empower our agents and AI data fabric.In this role, you will engage in compute orchestration, GPU infrastructure management, fine-tuned model lifecycle stewardship, and ensure model governance and security.Key ResponsibilitiesDesign and maintain secure, scalable, and automated pipelines for:LLM fine-tuning, SFT, LoRA, RLHF, and DPO trainingRAG embedding pipelines with real-time updatesModel conversion, quantization, and inference deploymentOversee hybrid compute infrastructure (cloud, on-premises, GPU clusters) for training and inference workloads utilizing Kubernetes, Ray, and TerraformContainerize models and agents using Docker, ensuring reproducible builds and CI/CD through GitHub Actions or ArgoCDEstablish and enforce model governance, including versioning, metadata management, lineage tracking, reproducibility, and evaluation captureDevelop and manage evaluation and benchmarking frameworks (e.g. OpenLLM-Evals, RAGAS, LangSmith)Integrate with security and access control mechanisms (OPA, ABAC, Keycloak) to implement model policies by tenantImplement observability practices for model latency, token usage, performance metrics, error tracing, and drift detectionAssist in deploying agentic applications using LangGraph, LangChain, and custom inference solutions.

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 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.

About Fellow: At Fellow, our mission is to empower coffee enthusiasts to brew exceptional coffee at home. We offer more than just elegantly designed kettles and grinders; we are a progressive brand rooted in innovation, community, and culture. We believe that great coffee transcends the final cup; it embodies the experience, the ritual, and the passionate individuals behind it. Our ultimate goal at Fellow is to foster a safe, inclusive, and rewarding workplace where all team members can thrive and contribute their authentic selves. We actively encourage individuals from underrepresented backgrounds to apply. Position Overview: Fellow is on the lookout for an enthusiastic Mechanical or Electrical Engineering Co-op to join our dynamic team. This position presents a fantastic opportunity to play a key role in the design and development of our renowned products while collaborating with seasoned engineers and product designers. The co-op will gain invaluable hands-on experience across different phases of the product development cycle, from initial concept through to production. This role is based in our San Francisco office. What You'll Do: Assist in the mechanical or electrical design of products, contributing throughout various stages from conception to launch. Support iterative prototyping to functionally validate concepts and aid in product-level decisions or user testing. Facilitate the development and execution of design and functional validation testing for mechanical and/or electrical components. Conduct root cause analysis on complex electromechanical hardware system failures.

At Plaid, we envision a future where financial interactions are seamless and empowering. Our mission is to facilitate this transformation by developing innovative tools and experiences that empower thousands of developers to build their own financial products. With Plaid, millions of individuals can manage their finances effectively, leveraging our connections to a vast network of companies, including Venmo, SoFi, and numerous Fortune 500 firms, as well as major banks. Covering over 12,000 financial institutions across the US, Canada, UK, and Europe, Plaid has established itself as a leader in financial technology since its inception in 2013. Headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam.Join our Network Enablement team, where our mission is to enhance Plaid’s network effects by building trust and sharing valuable insights with our data partners.We are responsible for creating cutting-edge solutions including Trust & Fraud Insights, Bank Intelligence, and foundational ML/data infrastructure. Our work encompasses real-time Protect model scoring, two-way APIs/webhooks, investigation tools, ML-driven retention metrics, and scalable batch processing.As a Senior Software Engineer in this role, you will spearhead the design and operation of the ML infrastructure and product services that underpin trust and intelligence throughout Plaid’s network. Your responsibilities will include feature engineering, offline training, batch scoring, online feature serving, and real-time inference, ensuring that model outputs effectively drive partner-facing fraud and trust products as well as bank intelligence features. You will also integrate inference into product logic, establish reproducible pipelines, and implement CI/CD for models while maintaining observability, compliance, and reproducibility as we expand our network capabilities. Collaborating closely with Product, ML/Data Platform, Fraud, Foundational Modeling, MLE, DS, and Privacy teams, you will deliver reliable, auditable ML solutions that positively impact our product KPIs.

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 Our Team at Air AppsAt Air Apps, we are on a mission to revolutionize resource management through innovative technology. Founded in 2018 in Lisbon, Portugal, we have expanded our reach with offices in both Lisbon and San Francisco, boasting over 100 million downloads globally. Our vision is to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we are looking for passionate individuals to help us achieve this goal.Our commitment to challenging the status quo drives us to push the boundaries of AI-driven solutions that make a real impact. Here, you will have the opportunity to be a creative force, developing products that empower individuals worldwide.Join us as we embark on this journey to redefine how people plan, work, and live.

About Sygaldry Technologies Sygaldry Technologies develops quantum-accelerated AI servers in San Francisco, focusing on faster AI training and inference. By combining quantum technology with artificial intelligence, the team addresses challenges in computing costs and energy efficiency. Their AI servers integrate multiple qubit types within a fault-tolerant system, aiming for a balance of cost, scalability, and speed. The company values optimism, rigor, and a drive to solve complex problems in physics, engineering, and AI. Role Overview: ML Infrastructure Engineer The ML Infrastructure Engineer joins the AI & Algorithms team, which includes research scientists, applied mathematicians, and quantum algorithm specialists. This role centers on building and maintaining the compute infrastructure that powers advanced research. The systems you build will support reliable GPU access, reproducible experiments, and scalable workloads, so researchers can focus on their core work without needing deep cloud expertise. Expect to design and manage compute platforms for a range of tasks, including quantum circuit simulation, large-scale numerical optimization, model training, tensor network contractions, and high-throughput data generation. These workloads span multiple cloud providers and on-premises GPU servers. Key Responsibilities Develop compute abstractions for diverse workloads, such as GPU-accelerated simulations, distributed training, high-throughput CPU jobs, and interactive analyses using frameworks like PyTorch and JAX. Set up infrastructure to support experiment tracking and reproducibility. Create developer tools that make cloud computing feel local, streamlining environment setup, job submission, monitoring, and artifact management. Scale experiments from single-GPU prototypes to large, multi-node production runs. Multi-Cloud GPU Orchestration Design orchestration strategies for workloads across multiple cloud providers, optimizing job routing for cost, availability, and capability. Monitor and improve cloud spending, keeping track of credit balances, burn rates, and expiration dates.

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.

Join tvScientific as a Senior Machine Learning Operations Engineer and play a pivotal role in deploying and managing ML models at scale. You will work closely with data scientists and software engineers to optimize and streamline ML workflows, ensuring the delivery of high-quality products to our clients. This position offers the flexibility to work remotely from anywhere in the United States.

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.

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.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore and analyze billions of data rows in seconds, all within a familiar spreadsheet-like interface. Sigma aims to make it simple to analyze, present, and build data-driven applications at scale. AI is central to Sigma's vision for the future. The company is expanding its use of artificial intelligence to help users build in Sigma, surface insights, and make decisions faster. What You Will Do As a Senior AI/ML Engineer, join a team focused on shaping the AI architecture behind Sigma's platform. This work directly impacts thousands of enterprises that depend on Sigma for their data workflows. The team is responsible for designing and implementing the systems that will power Sigma's AI-driven features for years to come. Location This position is based in San Francisco, CA.

At Runway ML, we are pioneering artificial intelligence that creatively simulates the world by blending art with science.We envision a future where world models are at the cutting edge of AI advancements. Relying solely on language models will not address the most challenging issues we face—such as robotics, disease management, and scientific breakthroughs. Genuine progress necessitates models that can interact with the world and learn through trial and error, much like humans do. This process can be significantly expedited in a simulated environment rather than the real world.Our world models provide the clearest pathway to general-purpose simulation, revolutionizing storytelling, scientific advancement, and the exploration of humanity's next frontiers.Our team is comprised of innovative, open-minded, caring, and ambitious individuals dedicated to making a difference. We strive to create the extraordinary, and our success is built on assembling an exceptional team. If you share our passion and vision, we would be thrilled to hear from you.About the Role*We are open to hiring remotely across the US, with offices located in NYC, San Francisco, and Seattle.We are looking for a meticulous and self-motivated Senior Accountant to become a vital part of our Finance team. This position demands a foundational accounting professional who takes ownership of the monthly close process, excels in a dynamic environment, and maintains precision in every task.What You'll DoConduct a prompt and accurate monthly financial close, including preparing and posting journal entries, maintaining account reconciliations, and identifying and resolving discrepancies.Assist in accounts receivable functions, including invoicing, collection follow-ups, cash application, and aging reviews.Support accounts payable processes by reviewing and reconciling invoices and managing cash flow.Identify and implement enhancements to accounting workflows, such as documenting procedures, strengthening controls, and promoting consistency as the team scales.Act as the accounting representative in cross-functional discussions with Legal, Sales, and Engineering, ensuring that accounting aspects are considered early and integrated into decision-making.Assist in preparing supporting schedules and documentation for external audits and financial reporting.What You’ll NeedBachelor's degree in Accounting or Finance; CPA or CPA candidate is preferred.A minimum of 4 years of experience in a similar role.

Merge Labs is a pioneering research laboratory dedicated to uniting biological intelligence with artificial intelligence, aiming to enhance human potential, autonomy, and overall experience. We are innovating groundbreaking methods for brain-computer interfaces that facilitate high-bandwidth interactions with the brain, seamlessly integrate advanced AI, and ensure safety and accessibility for all users.About the Team:At Merge Labs, we are developing the future of brain-computer interfaces through the integration of cutting-edge advancements in synthetic biology, neuroscience, AI, and non-invasive imaging. Our cross-functional data and software engineering team collaborates closely with wet-lab scientists, automation engineers, and data scientists to construct a digital infrastructure that expedites molecular discoveries and optimizes device performance.About the Role:We are seeking a Senior / Principal ML Engineer to lead the development and ownership of the digital infrastructure supporting Merge's extensive computational operations. In this role, you will design distributed training and inference systems, experiment tracking, and deployment frameworks, empowering data scientists to swiftly iterate on models encompassing de-novo molecular design, biophysical modeling, signal processing, and computer vision. Your architectural contributions will transform research prototypes into production-ready systems, enhancing the speed, rigor, and fluidity of every computational scientist's workflow.Key Responsibilities:Develop the scientific and engineering framework for active learning and closed-loop optimization, including data ETL, machine learning modeling, and library architecture.Work alongside computational scientists to establish achievable optimization goals and encode domain-specific knowledge and constraints.Create model registries, evaluation frameworks, and automated reporting systems for benchmarking and experimental comparisons.Implement CI/CD pipelines and resource orchestration using tools like Kubernetes, Ray, or Slurm.Define and manage the ML engineering roadmap, providing mentorship to other computational scientists while establishing best practices for code quality, testing, and reproducibility.

Join our dynamic team at Cloudflare as a Senior/Principal Systems Engineer specializing in Workers AI (AI/ML). In this pivotal role, you will leverage your expertise in artificial intelligence and machine learning to develop cutting-edge solutions that enhance our platform's capabilities. You will collaborate with cross-functional teams to drive innovation and improve our systems, ensuring we remain at the forefront of technology.

About UsSamsara (NYSE: IOT) is revolutionizing the Connected Operations™ Cloud, a transformative platform that empowers organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational enhancements. Our mission is to enhance the safety, efficiency, and sustainability of the physical operations that drive our global economy. Covering over 40% of global GDP, these essential industries include agriculture, construction, field services, transportation, and manufacturing. We are thrilled to digitally transform their operations at scale.Joining Samsara means you will play a pivotal role in shaping the future of physical operations, contributing to a diverse range of innovative product solutions such as Video-Based Safety, Vehicle Telematics, Driver Workflow Applications, and Equipment Monitoring. As part of a publicly traded company, you will enjoy the autonomy and support needed to make a significant impact while we build for the long term.

About FaireFaire is a cutting-edge online wholesale marketplace driven by the belief that the future is local. Independent retailers around the world generate more revenue than giants like Walmart and Amazon combined, yet individually, they often struggle against these behemoths. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs globally. Imagine your favorite local boutique; we empower them to discover and sell exceptional products from around the world. With the right tools and insights, we aim to level the playing field, allowing small businesses to compete effectively with large retail chains and e-commerce platforms.By fostering the growth of independent businesses, Faire is making a positive economic impact in local communities worldwide. We’re in search of intelligent, resourceful, and passionate individuals to join us in driving the shop-local movement. If you share our belief in community, we would love to welcome you to ours.About this Role:We are on the lookout for a Principal ML / AI Engineer to serve as a company-wide technical thought leader and practitioner in shaping the future of Data and AI at Faire. This unique opportunity allows you to influence broad technical strategies across data, engineering, and product while engaging directly with pioneering AI research and applications. This role will report directly to the CTO of Faire.Your Responsibilities:Shape the AI Vision – Collaborate with product, design, strategy & analytics, machine learning, and the wider engineering leadership to define how AI can unlock transformational value for Faire’s retailers and brands. Provide thought leadership to guide company-wide priorities, particularly focusing on product strategy and key investment areas.Prototype and Unblock – Lead the development and implementation of AI systems (such as LLM fine-tuning, RLHF, agent frameworks, etc.) that illustrate what’s achievable and promote adoption across teams. Act as a “super individual contributor” who can delve deeply into technical challenges, enabling the engineering organization to advance quickly with AI and amplify both development and impact.Architect the AI-Ready Stack – Design Faire’s technical ecosystem, encompassing event logging, data warehouses, feature stores, and model serving, to ensure our infrastructure is AI-ready, scalable, and optimized for rapid experimentation.