Airbnb Logo

Airbnb

Senior Staff Machine Learning Engineer, Infrastructure

Posted 2 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
248K-310K Annually
Senior level
Remote
Hiring Remotely in United States
248K-310K Annually
Senior level
The Senior Staff Machine Learning Engineer will develop scalable ML infrastructure, define best practices, and enable rapid deployment of AI/ML models at Airbnb, collaborating with cross-functional teams.
The summary above was generated by AI

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: 

At Airbnb, our mission is to create a world where anyone can belong anywhere. We use advanced Data and Machine Learning extensively to create a more connected, empowered, and safer global community, and to enable an intelligent & worry-free travel experience. ML Infrastructure, which is the team you will join in, is tasked to provide robust, scalable, and innovative common shared foundations for modeling, data, governance and productivity, to ensure Airbnb’s AI/ML models and applications are built with the highest standards in the industry.

The Difference You Will Make:

As part of our team, you'll play a pivotal role in shaping our cutting-edge Generative AI infrastructure, positioning AI at the heart of Airbnb’s future. You'll build the essential AI/ML data foundations to power diverse AI/ML use cases across Airbnb. You’ll define, implement and champion industry-leading best practices to streamline data asset creation, management and utilization, ensuring efficiency, consistency, and regulatory compliance. Your contributions will significantly accelerate AI/ML innovation, facilitating rapid development and deployment of high-quality, highly impactful AI/ML solutions throughout the company.

A Typical Day: 

  • Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning (ML) 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 ML/AI models and pipelines at scale, including both batch and real-time use cases.
  • Leverage third-party and in-house ML/AI 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.
  • Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.

Your Expertise:

  • 12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields
  • Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
  • Deep understanding of ML/AI  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 (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).
  • Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive).
  • Industry experience building end-to-end ML/AI infrastructure and/or building and productionizing ML models.
  • Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).
  • Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
  • Experience building end-to-end AI/ML platforms and deploying production-grade AI/ML models.
  • Familiarity with state-of-the-art LFMs such as Llama, Mixtral, CLIP, and the Qwen series.
  • Hands-on experience developing RAG platform, leaderboards, chatbots, and agentic AI applications.
  • Expertise in AI/ML governance, compliance, and regulatory frameworks.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

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: [email protected]. 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.  

Pay Range
$248,000$310,000 USD

Similar Jobs

8 Days Ago
In-Office or Remote
164K-258K Annually
Senior level
164K-258K Annually
Senior level
Fintech • Financial Services
The Senior Machine Learning Engineer will develop and optimize production machine learning models, implementing MLOps practices, monitoring performance, and collaborating across teams.
Top Skills: DockerKafkaKubernetesPythonPyTorchScikit-LearnSparkSQLTensorFlow
58 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
88K-140K Annually
Mid level
88K-140K Annually
Mid level
Big Data • Fintech • Mobile • Payments • Financial Services
The Compliance Analyst II at Affirm will support compliance governance and oversight by reviewing consumer complaints, collaborating with teams to address compliance issues, and contributing to risk assessment and process improvements.
2 Hours Ago
Remote or Hybrid
172K-301K Annually
Senior level
172K-301K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves developing product strategies for RaptorDB's analytical capabilities, managing engineering collaboration, and engaging with enterprise customers to enhance data platform offerings.
Top Skills: AIAnalytical PlatformsBigQueryDistributed Data SystemsEnterprise DatabasesMicrosoft FabricRedshiftSalesforce Data CloudSnowflakeSynapseTeradata

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account