Staff Machine Learning Engineer, Knowledge Graph

Key Skills

A/B Testing, Algorithms, Analytical and Problem solving, C# Programming, Data Mining, Data structuring, Deep Learning, Effective communication skills, Java Programming, Knowledge graph, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Scala Programming

Job Description

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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.

Staff Machine Learning Engineer, Knowledge Graph

The Community You Will Join:

Search is at the core of the Airbnb marketplace that connects our guests and hosts. The knowledge graph team at the search org builds data foundations to empower a variety of product experiences including search and experience. It extracts structured insights from multiple sources including UGC contents to help guests find and enrich the best homes and experiences to fit their needs and wants. We collaborate with cross-functional partners to revolutionize Airbnb product experience, and advance Airbnb's mission to help anyone feel like they can belong anywhere.

The Difference You Will Make:

What does being a Machine Learning Engineer look like:

As one of the most senior Machine Learning Engineers in the team, you are very hands on and eager to solve complex NLP/ML problems top to bottom and thrive working across technologies and codebases. Background in NLP, personalization and machine learning is required.

A Typical Day: 

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product use cases.
• Hands-on develop, productionalize, 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..
• Mentor team members

Your Expertise:

• 10+ years of hands on industry experience in NLP or applied Machine Learning, inclusive MS or PhD in relevant fields
• Proficiency in NLP or UGC/content understanding including deep learning, text classification, named entity extraction, information retrieval, or knowledge extraction.

• Hands on experience with large language models, i.e. BERT, LaMDA, GPT-2/3/4, LLaMa
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, personalization and recommendation)
• Strong programming (Scala / Python / Java/ C# or equivalent) skills with a deep understanding of data structure and algorithms
• Experience with building and productionalizing Machine Learning models at scale from inception to business impact with multiple dependencies across teams
• Exceptional problem-solving, analytical, and critical thinking skills, with the ability to adapt to new challenges and technologies
• Great communication skills and eagerness to learn and share knowledge within the engineering organization

Minimum Requirements:

• Bachelor's degree or equivalent practical experience.
• 7 years of hands on experience with natural language processing, deep learning / ML algorithms and tools
• 10 years of experience in software development with focus on data mining, data structures/algorithms.

Benefits:

• Stock
• Competitive salaries
• Quarterly employee travel coupon
• Paid time off
• Medical, dental, & vision insurance
• Life insurance and disability benefits
• Fitness Discounts
• 401K
• Flexible Spending Accounts
• Apple equipment
• Commuter Subsidies
• Community Involvement (4 hours per month to give back to the community)
• Company sponsored tech talks and happy hours
• Much more…

How We'll Take Care of You:

Our job titles may span more than one career level. The starting base pay for this role is between $200,000 - $254,000. 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.

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. Airbnb,Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously evolving and being updated, 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.

If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.

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: $200,000—$254,000 USD