דרושים Staff Backend Engineer Guest Host- Cohosting ב-Airbnb ב-ארהב

A Typical Day:

As a Senior iOS Engineer on Core Foundation, you will:

• Collaborate with partner teams and product engineers to design and develop high quality APIs that compliment product engineers’ day to day flows.
• Be an active contributor to your projects by creating high quality pull requests and reviewing other’s pull requests.
• Build thorough tests to ensure the reliability and performance of the software you create.
• Create architecture design documents for new projects and review other’s design documents.
• Stay up-to-date with the latest industry trends, technologies, and best practices in Web development and performance engineering.

Your Expertise :

We’re looking for a Senior iOS Software Engineer with passion for making the client experience performant through foundational paved path, with the following skill sets, experience, and passions:

• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.
• 8+ years industry experience.
• Fluency in Swift and experience with SwiftUI or other declarative UI building frameworks.
• Experience building codegen tools, codemods, and lint rules.
• Deep understanding of iOS core libraries.
• Expertise of client and environmental performance considerations.
• Strong communication and organizational skills.
• Ability to work in a cross-functional team which touches many parts of core systems at Airbnb.

Offices: United States

The Difference You Will Make:

As part of our team, you'll build the essential AI/ML data foundations powering all AI/ML use cases across Airbnb—spanning Trust & Safety, Payments, Customer Support, Marketing, Search Ranking, and more. You’ll define and implement industry-leading best practices, pipelines, and tools to streamline data creation and consumption, ensuring efficiency, consistency, and compliance. Your contributions will significantly accelerate AI/ML innovation, enabling rapid development and deployment of high-quality, impactful AI/ML solutions company-wide. Additionally, you'll play a pivotal role in shaping our cutting-edge Generative AI infrastructure, positioning .

A Typical Day:

• Design, build, automate, and maintain robust, scalable data pipelines using SparkSQL, Scala, and Airflow.
• Develop and optimize data models ensuring high-quality, consistent, and accurate data to support broad AI/ML product feature decisions.
• Collaborate closely with peer ML Infra teams to deliver automated data solutions driving AI/ML acceleration.
• Contribute to scalable GenAI infrastructure by leveraging foundational language and vision models to create high quality datasets that power cutting edge GenAI applications.
• Partner with key customer teams to deliver high-impact, high-quality datasets core to Airbnb's roadmap.
• Utilize leading open-source technologies including Spark, Airflow, Ray, MLFlow, TensorFlow, PyTorch, Docker, Kubernetes, and more.

Your Expertise:

• 5+ years of relevant industry experience (BS/Masters) or 2+ years with a PhD.
• Strong coding skills in Python, Java, or equivalent languages.
• Hands-on experience with distributed processing technologies (Spark, Kafka, Flink, Hadoop) and distributed storage (HDFS, S3).
• Solid knowledge of data warehousing concepts and databases (e.g. PostgreSQL, MySQL, Redshift, BigQuery, ClickHouse).
• Expertise building scalable ETL pipelines using schedulers like Airflow, Luigi, Oozie, or AWS Glue.
• Proven ability to analyze large datasets, identify insights, and drive impactful product solutions.
• Excellent written and verbal communication skills; comfortable collaborating cross-functionally.
• Experience building end-to-end Machine Learning platforms and deploying ML models.
• Familiarity with Kubernetes, Docker, and modern infrastructure tools.
• Deep understanding of distributed systems and engineering best practices.

Offices: United States

The Difference You Will Make:

As a staff software engineer on the Content Platform team, you’ll provide hands-on technical leadership to build a no-code or low-code platform to bring together a thoughtful user experience for Marketing to author, segment, and plan lifecycle management of communications on onsite ( ) and offsite (emails, push notification) channels. You’ll be working alongside a team of talented software engineers to improve our usability of our platform of tools, reducing time-to-market for our internal teams, and developing technical strategic planning towards driving a best-in-class scalable platform. You will also work closely with XFN partners like design, product and marketing stakeholders to dive deep into solving problems that have a direct growth impact on our business.

A Typical Day:

As a Staff Software Engineer on Content Platform, you will:

• Design the future state of our platform and systems by incorporating product-first mentality of our users and their end-to-end workflows
• Lead engineers—both inside and outside your immediate team—in building out these technical solutions
• Participate in the development of product and UX requirements by engaging early and often with designers, product managers and Marketing stakeholders to help steer teams on the most efficient path towards overall goals
• Nurture a culture of technical quality from design, through code review, to production operations
• Mentor other engineers in developing their technical and collaboration skills
• Identify and propose solutions to problems coming in the way of technical and product engineering excellence
• Collaborate with internal teams across Marketing Technologies, ML, Growth Marketing, and Creative
• At the staff+ level, our engineers are responsible for establishing a technical vision and then delivering a solution that is flexible, always available, efficient, and scales with the needs of the business. Each individual brings their own unique skill set, experiences, thought leadership and technical expertise to solve these technical challenges for Airbnb.

Your Expertise :

• 9+ years of experience in a hands-on software engineering role.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
• Technical leadership: hands on experience leading project teams, setting technical direction and strategy and mentoring engineers.
• Passionate about efficiency, availability, technical quality and system quality.
• Passion to level-up those around you through curiosity and fostering a collaborative and inclusive team environment.
• Proven experience in defining product/technical strategy and driving alignment with cross-functional leaders and stakeholders.
• Strong communication and collaboration skills with experience driving initiatives that span across teams, departments and leadership.
• Bonus - if you’ve worked in Marketing Technologies

Offices: United States

The Difference You Will Make:

As a Senior Software Engineer on our team, you'll architect and implement security solutions that protect millions of users while empowering thousands of developers. You'll be at the forefront of creating a security-first engineering culture, building tools and frameworks that make secure development the path of least resistance. We're building the next generation of security-first development tools and practices that will shape the future of secure software engineering.

A Typical Day:

Here are a few things you’ll do in this role:

• Lead the design, development, launch, and operation of scalable and reusable solutions that address systemic security issues across teams, showcasing your leadership and expertise.
• Drive technical security innovation by developing new coding standards for the team and organization, fostering a culture of continuous improvement.
• Provide input and influence architectural decisions to ensure security, scalability, quality and resilience in major product features and platform services.
• Take a hands-on role in designing and implementing secure software.
• Collaborate with product and infrastructure engineers to build performant, developer-friendly solutions that integrate security into developer tools, libraries, and frameworks.
• Support secure development strategies, tooling, and product-specific security features with engineering teams to help detect and prevent diverse security issues.
• Build and maintain automation frameworks to validate deployed software against security requirements.

Your Expertise:

The following are some examples of profiles that are relevant to us. If a subset of these applies to you, please consider applying. We are looking to build a team of both security experience and software engineering generalists.

• 5+ years of software development in at least one of the following programming languages: Java, Kotlin, Golang, Python, JavaScript / TypeScript.
• Proven experience in designing, implementing, and maintaining secure software systems.
• Thorough understanding of secure development methodologies and best practices.
• Experience collaborating effectively with cross-functional teams and contributing to open-source tools.
• Experience with static and/or dynamic analysis.
• Experience building secure-by-default libraries or frameworks.
• Experience securing cloud infrastructure, particularly in AWS.
• Experience with mobile or web application security is a plus.
• Experience with Terraform and HCL is a plus.
• Experience building developer tools and infrastructure is a plus.

Offices: United States

A Typical Day:

• Collaborate with partner teams and product engineers to design and develop high quality APIs that compliment product engineers’ day to day flows.
• Be an active contributor to your projects by creating high quality pull requests and reviewing other’s pull requests.
• Build thorough tests to ensure the reliability and performance of the software you create.
• Create architecture design documents for new projects and review other’s design documents.
• Stay up-to-date with the latest industry trends, technologies, and best practices in Web development and performance engineering.

Your Expertise:

We’re looking for an Senior Frontend Engineer with passion for making the desktop and mobile web fast and easy to develop on, with the following skill sets, experience, and passions:

• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.
• 5+ years' industry experience in Web Client / Product Foundation focuses.
• Fluency in HTML, CSS, JavaScript and related web technologies
• Experience with modern JavaScript libraries and tooling (e.g. React, npm, webpack...)
• Deep expertise of client-side and server-side performance considerations and cross-browser compatibility issues
• Experience with improving architecture and developer tooling/libraries of a high traffic website
• Strong collaboration with partner teams in a remote environment
• Deep experience of understanding and solving engineering productivity pain points
• Solid engineering and coding skills. Demonstrated knowledge of data structures and asynchronous programming
• Strong communication and organizational skills
• Ability to work in areas outside of your usual comfort zone and show motivation for personal growth

Offices: United States

A Typical Day:

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making.
• Collaborate closely with Product, Engineering, Finance, Operations, Data Science, Product Insights Analysts, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights.
• Develop and implement advanced forecasting models to not only predict key performance metrics but also understand the metric’s actual performance.
• Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
• Design and build metrics / dimensions to monitor product and business performance.
• Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
• Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner.
• Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques.

Your Expertise:

• 10+ years of industry experience with a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Deep technical expertise in data and statistical analysis, experimentation, causal inference, forecasting methods, and familiarity with LLMs.
• Proficiency in programming languages such as Python or R for data analysis and modeling.
• Experience working with large datasets and SQL for data extraction and manipulation.
• Self-starter, thrives in ambiguity, and has an investigator mindset of wanting to get to the bottom of problems.
• Strong problem-solving and critical thinking abilities, with a keen attention to detail.
• Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
• Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.
• An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.
• Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
• Prior experience in the technology industry or a fast-paced, data-driven environment is preferred.

Offices: United States

A Typical Day:

• Work closely with the core data engineering team, data services team, and other product engineering teams in the Community Support Platform, understanding their productivity and data authoring pain points, and build solutions to resolve them scalably and flexibly.
• Deeply understand the different logging and data processing frameworks and collaborate with data infrastructure teams and evolve how we integrate data flows between different frameworks and serving layers worlds, ML and non-ML, and allow systems to deal with data more effectively
• Own challenges end-to-end, proactively addressing gaps and acquiring new skills to resolve complex issues.
• Mentor and inspire your teammates in enabling code quality, operational excellence, and shared learning.
• Participate in all phases of software development from architecture/design through implementation, testing, and on-call.
• Develop, automate and standardize: logging, enriching, serving data for ML training, inference, benchmarking and monitoring (anomaly detection, safe deploys) to build the next generation of Generative AI products
• Enable data engineers and analytics engineers to author data products
• Design, build, and maintain robust and efficient data pipelines and APIs that collect, process, and serve data from various sources, including backend events logged as part of LLM flows, customer interactions across multiple channels, CS agents, LLM evaluations etc.

Your Expertise:

• 9+ years of industry experience at the intersection of platform data engineering and software engineering with BS, MS or PhD in CS or similar
• Proven ability to not only developing data processing pipelines, but design guardrails and abstractions that scale—reducing toil and raising confidence for all engineers
• Deep experience building distributed batch/streaming pipelines (e.g., Spark, Flink, Kafka) and working with distributed storage (e.g., HDFS, S3).
• Expertise with ETL orchestration tools (Airflow, Luigi, AWS Glue, etc.).
• Strong knowledge of data warehousing, relational databases (PostgreSQL, MySQL), and columnar stores (Redshift, BigQuery, ClickHouse, HBase).
• Comfort driving architectural discussions across services, repositories, and environments.
• Skilled in SQL and data processing (batch and streaming), with a track record of analyzing large datasets to uncover gaps and insights.
• Excellent collaboration and communication skills; able to influence technical direction across teams.

Offices: United States