Senior Data Scientist – Algorithms jobs at Airbnb in United States

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 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:

On any given day you will be operating across many of the following areas and expectations:

• People Development: You have multiple years of experience in people management and supporting managers best support their teams. You are an effective career coach and can provide mentorship and feedback both technically and professionally. You enjoy investing in your teammates and developing growth and career progression plans with them to help them reach their highest potential. You provide your people autonomy and in return, you expect the people you support to be self-driven and proactive.
• Team Development: You are an effective leader that focuses on efficiency, quality, accountability, and delivering on and above expectations. You play an active and primary role in identifying and recruiting top talent and supporting your teams to do so. You understand when to roll up your sleeves and contribute and when to delegate and grow your managers, teammates, and cross-functional partners.
• Technical Leadership: You have experience in developing and communicating effective and pragmatic strategies, supporting your managers to do so, and ensuring your teams are executing accordingly. You don’t wait for things to happen to you, you make things happen and ensure your managers and team members do so as well. You see across the functions you support and partner organizations to ensure alignment to common priorities and objectives while course correcting where needed. This means you’re close enough to the work to spot alignment issues while also not inhibiting your team’s speed. You have multiple years of experience establishing, growing, and or maturing software engineering functions. You see beyond the immediate functions you support to tie software engineering priorities into a broader, integrated, and unified Information Security strategy.
• Function development: You have experience establishing and building a multi-disciplinary team for a global company that focuses on engineering and related operational activities.
• Influence & Communication: You have strong written and verbal communication skills. You can dive into the details with technical and non-technical audiences alike but also speak at the appropriate altitude when working with other organizations and leaders. You have empathy and seek to understand when communicating. This enables you to effectively identify the best path forward and influence how you approach a problem, as well as how other teams may prioritize supporting your work.
• Security Culture and Philosophy: you embrace the notion we are here to help Airbnb build and operate the business, securely. You understand that improving security doesn’t mean introducing friction unless absolutely necessary. We are a culture of helping others find the path to “yes” and help others find the most secure path while not inhibiting Airbnb to achieve business objectives. You are stakeholder focused. You drive this culture and philosophy within your organization and help the entire Information Security develop and uphold this culture.

Your Expertise:

• 8+ years managing people with at least 3 of those years supporting other managers
• Experience with AWS (GuardDuty, Lambda, Kinesis, S3, SNS, SQS, EC2, ...)
• Past experience in Software development
• Experience with Kubernetes or similar
• Demonstrated ability to support, scale, and advance like functions
• Deep understanding of strategic approaches and methodologies across the lifecycle of prevention, detection, response, and validation and how your teams fit in and are responsible for across these pillars and various programs that comprise Information Security.
• Experience of disciplines spans corporate and product infrastructure as well as third party tooling and infrastructure.

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