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Senior Staff Machine Learning Engineer, Post Training

Fine-tune state-of-the-art LLMs and develop AI products to enhance the travel experience at Airbnb.

Location
Remote - USA
Compensation
$248k–$310k/yr
Level
staff
Type
full time · Hybrid

Posted by employer 4 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Skills & Technologies

PyTorch Python Flexible on stack

Role intensity

60% hands-on coding

AI in the day-to-day

The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization.

Requirements

Experience
10+ years
Education
PhD

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options Remote Work

Joblaze summary

In this role, the Senior Staff Machine Learning Engineer focuses on fine-tuning and optimizing large language models for various applications within Airbnb, enhancing customer support and product offerings. Key skills include extensive experience in machine learning model development, proficiency in Python, and familiarity with frameworks like PyTorch. This position is ideal for seasoned professionals with a strong technical background and a track record of delivering impactful AI solutions. The team is dedicated to leveraging cutting-edge AI technologies to improve user experiences across the platform.

Joblaze insights

Quick facts

Is the Senior Staff Machine Learning Engineer, Post Training role remote?
It's hybrid — Airbnb expects some on-site time in Remote - USA.
What's the salary range?
Airbnb lists $248,000–$310,000 for this role.
How much experience is required?
At least 10 years of relevant experience for this Senior Staff Machine Learning Engineer, Post Training role.
Where is the role based?
Airbnb is hiring for this position in Remote - USA.
What's the tech stack?
Joblaze extracted these technologies from the posting: PyTorch, Python.
What seniority level is this role?
Airbnb targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Senior Staff Machine Learning Engineer, Post Training role at Airbnb.

From the original posting

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:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.

The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.

The Difference You Will Make:

As a senior staff machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful impacts in the world of travel.

A Typical Day:

  • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases.
  • Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits.
  • Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency.
  • Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases.
  • Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy.


Your Expertise:

  • PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field.
  • 10+ years of experience with developing machine learning models and products at scale from inception to business impact.
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch.
  • Proven record of training, fine tuning, optimizing models and inference run-time
  • Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.
  • Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development

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: reasonableaccommodations@airbnb.com. 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

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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