# Senior Machine Learning Engineer, Relevance and Personalization

**Company**: Airbnb
**Location**: United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $191,000-$225,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q63327

**Apply**: https://job-boards.greenhouse.io/airbnb/jobs/7258033?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1ea47a83-55f

## Description

The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. As a Senior Machine Learning Engineer, you will be a leader in the team working on critical, impactful projects with a focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives.

You will build cutting-edge AI technologies across the end-to-end search ranking product stack, leveraging rich signals from various types of data. You will 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.

Responsibilities:

- Work with large-scale structured and unstructured data to build and continuously improve cutting-edge Machine Learning models for Airbnb product, business, and operational use cases.

- Collaborate with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.

- 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 and infrastructure to develop reusable, highly differentiating, and high-performing Machine Learning systems.

Requirements:

- 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.

- Strong programming skills in languages such as Scala, Python, Java, or C++.

- Deep understanding of Machine Learning best practices, algorithms, and domains.

- Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka, data warehouse.

- Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models.

Benefits:

- The base pay range is $191,000-$225,000 USD.

- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

## Skills

### Required
- Machine Learning
- Python
- Scala
- Java
- C++
- Tensorflow
- PyTorch
- Kubernetes
- Spark
- Airflow
- Kafka

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/airbnb/jobs/7258033?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)