Machine Learning Engineer, Relevance and Personalization

Airbnb; Deutschland; Vor Ort; EUR 137.261 - 161.741; Vollzeit

Benefits dieser Stelle

Employee Travel Credits

Potential bonuses and equity

Disability inclusive application process

Zusammenfassung

Airbnb is seeking a Machine Learning Engineer to join our Relevance and Personalization team. The role involves developing end-to-end ranking algorithms and enhancing AI technologies across our platform. Candidates should possess a Ph.D in ML/AI or equivalent experience, with a strong background in programming and data engineering.

This position offers remote work flexibility and competitive compensation, including potential bonuses, equity, and travel credits. Our commitment to diversity and inclusion drives us to foster a welcoming workplace where all ideas are valued.

Qualifikationen

• New grad Ph.D in ML/AI or 2+ years of industry experience in applied ML/AI.
• Strong programming skills (Scala / Python / Java / C++).
• Deep understanding of Machine Learning best practices.

Aufgaben

• Work with large scale structured and unstructured data.
• Collaborate with cross-functional partners to identify business impact.
• Develop and operate Machine Learning models and pipelines.

Kenntnisse

Machine Learning algorithms

Programming in Python

Data engineering

Natural language processing

Deep learning

Ausbildung

Ph.D in ML/AI or M.S./B.S.

Tools

TensorFlow

PyTorch

Kafka

Jobbeschreibung

Machine Learning Engineer, Relevance and Personalization

Remote - United States

May 12, 2026

$157K - $185K

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 Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives.

The Difference You Will Make:

We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here:https://sites.google.com/view/airbnb-relevance-publications/home

A Typical Day:

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
• Hands-on develop, productionize, and operate Machine Learning 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.

Your Expertise:

• New grad Ph.D in ML/AI or 2+ years of industry experience in applied ML/AI with a M.S. or B.S degree.
• Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
• Deep understanding of Machine Learning 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 (eg. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).
• Exposure to 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive).
• Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).
• Proven ability to choose the right ML method to solve the problem within current constraints while having a clear vision of the next iterations and a good balance between exploration and exploitation of different techniques.
• Ability to go deep and build the most impactful solutions while also leading multiple directions across multiple teams and organizations to ensure the success of our mission.

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: [e-mail] . 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.