Senior Machine Learning Engineer, Price Modeling - Careers at Airbnb Skip to main content Careers Life at Airbnb Job Search Connect Engineering Apprenticeship Internship Programs Contractor Roles Airbnb Customer-Supporting Roles Search Life at Airbnb Job Search Connect Engineering Apprenticeship Internship Programs Contractor Roles Airbnb Customer-Supporting Roles Senior Machine Learning Engineer, Price Modeling United States Role overview Application 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: As a Senior Machine Learning Engineer, you will be a part of Airbnb's innovative pricing guidance team. Our team is a diverse group of engineers, data scientists, and product managers who are dedicated to creating optimal pricing models for our hosts. We work closely with product engineers, designers, and other cross-functional partners to ensure our models are effective, user-friendly, and contribute to the success of our hosts. ners The Difference You Will Make: In this role, you will be responsible for developing and refining machine learning models for pricing recommendations, with a particular focus on reinforcement learning techniques. Success in this role will be measured by the accuracy and effectiveness of these models, and their impact on host success rates. You will also be involved in project planning and prioritization, ensuring that our team's efforts align with Airbnb's broader strategic goals. A Typical Day: Collaborating with data scientists and product managers to understand project
requirements and desired outcomes Developing, testing, and refining machine learning models, particularly reinforcement learning models, for pricing recommendations Analyzing model performance and making necessary adjustments Presenting findings and progress updates to team members and stakeholders Working with product engineers and designers to integrate models into user-friendly tools for hosts Your Expertise: 5+ years of experience in machine learning engineering Proven experience in developing and implementing machine learning models, preferably reinforcement learning models Strong knowledge of Python, or other relevant programming languages Familiarity with data analysis and visualization tools Excellent problem-solving skills and attention to detail Ability to work effectively in a team and communicate complex ideas clearly Experience in the hospitality industry or with pricing models would be a plus Must be authorized to work in the specified location Occasional travel may be required Experience with Airbnb's platform and tools would be beneficial. 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 $196,000 — $227,000 USD Offices: United States Apply Now p]:max-w-[1052px] [&>p]:mb-4"> Airbnb, Inc. can hire employees in states where we have registered entities. Currently, employees cannot be located/live in: Alaska, Mississippi, and North Dakota. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. Reasonable Accommodation — Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. 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. Airbnb Life at Airbnb FAQ Candidate Privacy Careers Job Search Connect Engineering Apprenticeship Internship Programs Machine Readable Files HMSA Kaiser Permanente Anthem © Airbnb, Inc Terms Privacy Sitemap Cookie Preferences Your Privacy Choices California Consumer Privacy Act (CCPA) Opt-Out Icon English English Français
Salary
$196,000 - $227,000
Location
United States
Total raised
$117.0M
Last stage
Series E
Investors
Christopher Bailey
Co-Founder & Chief Architect
Jared Simon
Co-Founder & COO
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.