Senior Staff Software Engineer, Core Automation

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. THE COMMUNITY YOU WILL JOIN: The Host Pricing & Settings team builds the platform and tools that help hosts run their business — with pricing strategies informed by market intelligence, comparable listings, and demand signals. We partner with Search, Listings, Tax, and Payments to ensure our guidance is accurate, timely, and trusted. Behind every pricing recommendation is a sophisticated ML system undergoing a fundamental rearchitecture. Our north star: a serving infrastructure where training, inference, and evaluation are consistent by design — features from a centralized store, model composition in one place, and backfills available on demand so data scientists and MLEs  can evaluate candidates in days, not weeks. THE DIFFERENCE YOU WILL MAKE: As a senior technical individual contributor, you will own the technical strategy for the full Modeling → ML Serving → API interface across the Host Pricing org. Although you will be at one of our highest levels of seniority, all individual contributors at Airbnb are Software Engineers — you are expected to be hands-on and contribute code. * Define the architecture and contracts governing how models move from development to production — feature store design, model schema management, online/offline inference consistency, and multi-version support. * Lead the buildout of a unified serving stack that eliminates per-model one-off implementations and gives data scientists a turnkey path from training to production. * Architect backfill and evaluation infrastructure so the modeling team can simulate production inference over historical data in days, not weeks. * Establish domain contracts between Modeling and Serving so each team can move independently with clear, enforced interfaces. A TYPICAL DAY: * Review and evolve the ML serving architecture — making tradeoff calls on feature pipeline design, model composition, and API interfaces. * Write and review code for feature engineering jobs, feature store configurations, and serving service endpoints. * Partner with Data Science, MLE, MLI and core Pricing & Availability systems BE teams to define artifact handoffs and integration contracts. * Drive milestone planning across the Host Pricing & Settings org, sequencing work to deliver value incrementally. * Mentor engineers through design reviews and hands-on pairing on the hardest infrastructure problems. YOUR EXPERTISE: * 12+ years in backend or platform engineering, with substantial experience building production ML systems or data-intensive infrastructure. * Strong programming skills in Java, Kotlin, Scala, and/or Python. * Deep understanding of ML systems design: feature stores, training/serving consistency, model versioning, and online/offline inference pipelines. * Experience with high-scale batch and real-time data pipelines (Spark, Airflow, Kafka, or equivalent), including point-in-time correctness for backfills. * Expertise with architectural patterns of large, high-scale applications — well-designed APIs, efficient data contracts, multi-tenant serving infrastructure. * Proven ability to lead cross-team technical initiatives spanning ML and platform engineering. PREFERRED QUALIFICATIONS: * Feature Store Depth: Production experience with Chronon, Tecton, Feast, or equivalent — including online/offline consistency and backfill automation. * Model Serving Infrastructure: Experience with model schema management, multi-version support, and model composition frameworks. * Domain Contract Design: Track record defining and enforcing technical contracts between ML modeling, MLI, serving teams and/or product surfaces. * Evaluation Velocity: Measurable impact improving the speed at which ML teams evaluate candidate models and ship to production. YOUR LOCATION: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. OUR COMMITMENT TO INCLUSION & BELONGING: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process.

Coinbase

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. We're hiring a Senior Staff Software Engineer to join the Blockchain Platform team within Platform and define the technical vision for the infrastructure that connects every Coinbase product to the broader crypto economy. This team builds and operates the nodes, indexers, wallets, and orchestration systems that power every core crypto action (send, receive, stake, bridge, wrap, and more) across 60+ blockchain networks and 300+ tokens. You'll lead the next generation of architecture for our wallet stack, indexing infrastructure, and asset identifier systems, directly shaping how millions of transactions execute with the speed, cost efficiency, and security our customers expect. What you'll do: * Define and drive the multi-quarter technical strategy for Blockchain Platform, spanning nodes, wallets, indexing, and asset lifecycle, to support new chain integrations, new products, and significant growth in onchain transaction volume. * Architect and evolve core platform infrastructure, including nodes, indexers, wallet systems, and liquidity primitives, for high availability, low latency, cost efficiency, and security at global scale. * Lead end-to-end design and rollout of large, cross-team architectural initiatives (e.g., wallet stack rearchitecture, indexing stack redesign, asset identifier system), breaking high ambiguity into clear milestones and measurable outcomes. * Drive engineering standards for correctness, security, reliability, testing, and observability across all crypto asset operations, including transaction finality, key management, reconciliation, and failure-mode handling. * Own data-driven reliability improvements by using observability signals (transaction success rates, node reliability, indexing latency, on-call burden) to identify structural platform gaps and lead systematic remediation. * Represent Blockchain Platform in executive and cross-org forums, communicating tradeoffs, aligning stakeholders on strategy, and securing buy-in for high-impact technical bets in areas like Yield and Stablecoins. Required Skills and Experience: * 12+ years of software engineering experience, including 4+ years operating at a staff-plus level designing and scaling high-throughput transaction systems requiring strong auditability, idempotency, and financial precision. * Hands-on experience with one or more blockchain protocols at the node or protocol level (e.g., EVM chains, Solana, Bitcoin, L2s), with demonstrated depth in staking infrastructure, bridging protocols, or tokenization systems. * Proven track record of leading large-scale, multi-team architectural initiatives from design through production at a company operating critical infrastructure at global scale. * Experience applying AI or agent-based automation to reduce operational toil in platform or infrastructure contexts, with measurable results in efficiency or reliability gains. * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).    Annual base salary range (excluding equity and bonus): $253,895—$298,700 USD * Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. * Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. * US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. * Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. * Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Growth Platform team’s vision is to drive long term sustainable growth for the Airbnb community. Our mission is to build a best-in-class agentic system, and capabilities to support the growth of all Airbnb products, current and future. We achieve this by delivering highly personalized and relevant content and product experiences to the Airbnb community, both on and off of the Airbnb platform. The north star is full autonomy — where AI identifies opportunities, creates campaigns, personalizes experiences, and optimizes outcomes with minimal human intervention. We are progressing along a deliberate maturity curve: AI assisted → agentic → autonomous, with human-in-the-loop controls at every stage to ensure brand safety, quality, and compliance. The Growth Platform deeply integrates with the Airbnb product, understanding the customer journey and enabling differentiated customer engagement experiences to drive product growth.  The platform also powers digital marketing channels including landing pages, email, push, SMS, and digital advertising, as well as the machine learning/AI and data platforms that feed into the management and optimization of these channels. The Difference You Will Make: * As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb agentic growth platform with cutting-edge AI techniques. You will drive and guide the rest of the engineers to brainstorm, design and develop AI products and features from inception to production.  * We're seeking a Senior Staff Engineer who thrives at the intersection of technical depth, architectural thinking, and mentorship. * You’ll collaborate with cross-functional leaders, build resilient systems that operate globally at scale, and help evolve the foundational building blocks behind AI-powered growth systems. Some example projects you will work on: * AI-Powered Content Generation - Developing agentic capabilities to autonomously create personalized emails, push notifications, Ad copy, and creatives. This significantly scales marketing efforts by enabling more campaigns, greater variant testing, and faster iteration cycles. * ML/AI Orchestration for Decisioning - Utilizing AI to determine the optimal audience, message, channel, and timing for communications. This shifts marketing decision-making to model-driven intelligence, enhancing relevance and minimizing message fatigue. The direct impact is an uplift in engagement rates, conversion, and ultimately, bookings. * Proactive Marketing Analyst Agent - Designing an AI agent that autonomously identifies new marketing opportunities and converts them into executable campaigns. It leverages world knowledge, proprietary Airbnb intelligence, and deep customer profiles. A crucial performance-based feedback loop ensures the system continuously learns from campaign outcomes to refine and improve future recommendations. A Typical Day:  * Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases. * Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions. * Hands-on develop, productionize, and operate ML/AI models and pipelines at scale, including both batch and real-time use cases. * Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep. * Collaborate actively with engineers to apply ML / AI in their solutions to help validate ideas and guide to the right outcomes. * Partner with ML/AI Engineers in foundations engineering to mentor and develop initiatives that make ML/AI applications a core discipline for non-ML/AI engineers.   Your Expertise: * 12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields * Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills * Deep understanding of ML/AI  best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection) * Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) * Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent) * Expertise with architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models) Preferred Qualifications: * Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks. * Agile Practice for AI Production: Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain. * Infrastructure Acumen: Experience building robust testing frameworks for agent behavior validation and continuous improvement, and driving architectural requirements on ML infrastructures Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.  We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $244,000—$305,000 USD