Machine Learning Engineer, Relevance and Personalization
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should only include sections where there is real specific content. We must not repeat job title as heading. No Job ID. Remove boilerplate like EEO, scam warning, navigation, etc. Also remove application instructions. We need to preserve all substantive info.
We need to decide sections: Perhaps "About the role" (intro about team, mission). "Responsibilities" (typical day bullet list). "Requirements" or "Qualifications" (expertise bullet list). "Skills" maybe overlapping. "Pay" (pay range). "Benefits" (maybe mention bonus, equity, benefits, Employee Travel Credits). "Schedule" maybe not present; location mentions remote eligible, occasional office, but not schedule. Could include "Location" but not in allowed headings; we could fold into a paragraph under About the role or maybe not create a section. The instruction: Use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says use those as examples but not limited? Probably we should stick to those headings. We can include Location as a paragraph inside About the role or maybe not a separate heading. Since they said "include a section ONLY when the posting has real, specific content for it". So we can create sections for About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay. Schedule not present, so omit.
We need to avoid filler like "commensurate with experience". Not present.
We need to use - for any list of duties/requirements/benefits, and
for prose.
We must preserve all substantive info: The intro about Airbnb history, community, team, difference you will make, typical day bullet points, expertise bullet points, location paragraph, inclusion statement, how we'll take care of you (pay range, bonus, equity, benefits, Employee Travel Credits). Also reasonable accommodations note maybe keep? It's part of inclusion? Might be considered boilerplate but it's substantive about accommodations. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The reasonable accommodations note is not exactly EEO but could be considered part of inclusion; but it's a specific process for disability accommodation. Might be okay to keep as part of Inclusion & Belonging section? However we don't have a heading for Inclusion; we could fold into About the role or a separate paragraph. Since they said remove EEO/equal-opportunity boilerplate, but this is about reasonable accommodation request; maybe keep as it's specific to process. However to be safe, we could keep a short paragraph about reasonable accommodations under Inclusion & Belonging but we don't have a heading for that. Could incorporate into a paragraph under "About the role" or maybe a separate
after the sections.
We need to avoid duplication: The posting repeats some lines like "Our Commitment To Inclusion & Belonging" and later "Reasonable Accommodations". We'll keep the substance but not duplicate.
Let's extract substantive content:
- Intro: 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: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives.
- The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We 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. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home
- A Typical Day: bullet list:
* Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning 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 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, enable fast model development, low-latency serving and ease of model quality upkeep.
- Your Expertise: bullet list:
* New grad Ph.D in ML/AI or 2+ years of industry experience in applied ML/AI with a M.S. or B.S degree.
* Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
* Deep understanding of Machine Learning 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 (eg. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).
* Exposure to 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive).
* Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).
* Proven ability to choose the right ML method to solve the problem within current constraints while having a clear vision of the next iterations and a good balance between exploration and exploitation of different techniques.
* Ability to go deep and build the most impactful solutions while also leading multiple directions across multiple teams and organizations to ensure the success of our mission.
- 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 $166,000—$195,000 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: ... This is boilerplate scam warning; should be removed per instruction.
Thus we need to remove scam warning.
Now produce HTML.
We need sections: About the role (intro + community + difference you will make?). Could combine intro, community, difference into About the role. Or we could have separate sections: About the role (intro), Responsibilities (typical day), Requirements (expertise), Qualifications (maybe education/experience), Skills (technologies), Benefits (bonus, equity, benefits, Employee Travel Credits), Pay (pay range). Location maybe as paragraph under About the role.
We must not repeat job title.
Let's decide:
About the role
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: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We 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. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home. 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.
But we have a link; we should keep it as . That's fine.
Now Responsibilities: typical day bullet list.
Responsibilities
- Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning 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
- for any list of duties/requirements/benefits, and
for prose. We must preserve all substantive info: The intro about Airbnb history, community, team, difference you will make, typical day bullet points, expertise bullet points, location paragraph, inclusion statement, how we'll take care of you (pay range, bonus, equity, benefits, Employee Travel Credits). Also reasonable accommodations note maybe keep? It's part of inclusion? Might be considered boilerplate but it's substantive about accommodations. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The reasonable accommodations note is not exactly EEO but could be considered part of inclusion; but it's a specific process for disability accommodation. Might be okay to keep as part of Inclusion & Belonging section? However we don't have a heading for Inclusion; we could fold into About the role or a separate paragraph. Since they said remove EEO/equal-opportunity boilerplate, but this is about reasonable accommodation request; maybe keep as it's specific to process. However to be safe, we could keep a short paragraph about reasonable accommodations under Inclusion & Belonging but we don't have a heading for that. Could incorporate into a paragraph under "About the role" or maybe a separate
after the sections. We need to avoid duplication: The posting repeats some lines like "Our Commitment To Inclusion & Belonging" and later "Reasonable Accommodations". We'll keep the substance but not duplicate. Let's extract substantive content: - Intro: 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: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. - The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We 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. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home - A Typical Day: bullet list: * Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning 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 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, enable fast model development, low-latency serving and ease of model quality upkeep. - Your Expertise: bullet list: * New grad Ph.D in ML/AI or 2+ years of industry experience in applied ML/AI with a M.S. or B.S degree. * Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills. * Deep understanding of Machine Learning 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 (eg. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection). * Exposure to 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive). * Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models). * Proven ability to choose the right ML method to solve the problem within current constraints while having a clear vision of the next iterations and a good balance between exploration and exploitation of different techniques. * Ability to go deep and build the most impactful solutions while also leading multiple directions across multiple teams and organizations to ensure the success of our mission. - 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 $166,000—$195,000 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: ... This is boilerplate scam warning; should be removed per instruction. Thus we need to remove scam warning. Now produce HTML. We need sections: About the role (intro + community + difference you will make?). Could combine intro, community, difference into About the role. Or we could have separate sections: About the role (intro), Responsibilities (typical day), Requirements (expertise), Qualifications (maybe education/experience), Skills (technologies), Benefits (bonus, equity, benefits, Employee Travel Credits), Pay (pay range). Location maybe as paragraph under About the role. We must not repeat job title. Let's decide:
About the role
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: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We 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. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home. 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.
But we have a link; we should keep it as . That's fine. Now Responsibilities: typical day bullet list.Responsibilities
- Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning 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