דרושים Data Scientist Algorithms – Core Ds 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

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 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

A Typical Day:

• Develop and provide advisory services on data governance policies and procedures to ensure data integrity, compliance with regulations, and best practices in data management.
• Oversee and enhance tools for audit and advisory work related to data governance, driving the dynamic audit identification process, and creating audit plans focused on data governance.
• Partner with key stakeholders, including business and technology partners, to evaluate data needs, support robust data architecture, and align with strategic initiatives.
• Develop and deliver enterprise-wide training on data governance, collaborating with other disciplines such as Enterprise Risk, Global Compliance Services, and Data & Analytics to maintain departmental alignment.
• Stay current with industry trends and technologies to improve data solutions and practices, while working on ad hoc projects as required.
• Ensure cohesive execution of projects by collaborating with third-party resources and subject matter experts.

Your Expertise:

• 15+ years of data governance, consulting, or relevant fields, with 5+ years in managerial or project management roles.
• Proven experience as a Data Solutions Architect, Data Governance, or leading consulting or internal audit engagements focused on data governance.
• Strong understanding of AWS S3 and cloud computing technologies, along with experience in data modeling and data warehousing.
• Experience in auditing or advising on developing and enhancing data governance tools and frameworks, with knowledge of data privacy regulations (e.g., GDPR, CCPA).
• Exceptional written and verbal communication skills, with the ability to influence key stakeholders globally and cross-functionally, and communicate complex data concepts to non-technical audiences, including executive levels.
• Ability to manage multiple projects simultaneously with strong time management and prioritization skills. Proactive, creative problem solver with strong organizational skills.
• Strong interpersonal skills and ability to work collaboratively in a team environment.

Offices: United States

A Typical Day:

• Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.

• Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.

• Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework

• Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.

• Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity

• Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

Your Expertise:

• 5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD

• Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3)

• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions

• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks

• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)

• Excellent written and verbal communication skills

Offices: United States

The Difference You Will Make:

As a Staff Analytics Engineer, you will be a key contributor to building foundational datasets that provide insights for the company and our Guest & Host community. This role requires a high degree of autonomy, as you will directly collaborate with Product, Analytics, Data Scientists, and peer engineering teams to define requirements and execute effectively.

Your responsibilities will include:

• Identifying gaps and opportunities with stakeholders and understanding their needs.
• Setting the team's roadmap.
• Driving alignment on improving and adopting data quality within the Users domain.
• Mentoring and reviewing designs and work of engineers on the team, while setting a high bar for quality.

• Design and develop high-quality data assets for internal product and analytics use cases, as well as for external partners.
• Foster strong collaborative relationships with cross-functional teams including backend/client, data science, analytics, and machine learning.
• Partner with product and engineering teams to enhance product usage measurement through improved logging practices.
• Create robust pipelines, frameworks, tools, and dashboards to efficiently generate insights that meet critical business, product, and regulatory requirements.
• Translate ambiguous data requirements into clear, efficient, scalable, and impactful deliverables.

• Present in-depth product and technical analyses to key stakeholders.
• Influence the strategic direction of data-driven decision-making within the organization.
• Develop user data entities at Airbnb to deepen understanding of Guest & Host behavior and improve platform personalization.

Your Expertise:

• 9+ years of experience experience in Analytics Engineering, Data Science, Data Engineering, or similar field
• Expertise in SQL and proficiency in at least one data engineering language, such as Python or Scala
• Expertise creating metrics, evaluating effectiveness of defenses - ex: rules and ML models utilizing evaluation and experiment data.
• Experience with Tableau and data visualization tools generally
• Experience with an ETL framework like Airflow
• Excellent communication skills with a history of strong collaborations with technical and non-technical partners
• Expertise with data warehousing and modeling. Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Strong problem-solving skills and the ability to troubleshoot complex data issues

Offices: United States