United States•Posted: Jul 9•Deadline: Aug 17
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:
* 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.
* Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.
Your Expertise:
* 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
* Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills
* Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering,
feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. natural language
processing, computer vision, personalization, search and recommendation, marketplace optimization)
* Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or
equivalent), data warehouse (eg. Hive)
* Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning
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 applying large language models and modern NLP is a plus, e.g. for sequence tagging, text generation, intent
classification, or representation learning.
* Familiarity with building natural-language, AI-native search experiences is a plus, e.g. autocomplete/smart compose, query
understanding, or user-intent modeling.
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
$191,000—$225,000 USD
United States•Posted: Jul 15•Deadline: Aug 17
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. In this role you'll focus on query intelligence, the front door of search working on critical, impactful projects that
turn what a guest types, taps, or says into a precise understanding of their intent, spanning autocomplete and smart compose,
query tagging, query expansion, and intent modeling across Stays, Experiences, and Services.
The Difference You Will Make:
Query understanding is where every search begins, and it directly shapes retrieval, ranking, and ultimately the perfect match
between guests and hosts. 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) and increasingly large language models at Airbnb. You'll build the models that
parse free-form and natural-language multimodal queries, extract entities and location context, classify intent, and anticipate
what guests want before they finish typing. 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:
* 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, with a focus on query understanding.
* Develop query understanding capabilities — autocomplete and smart compose, query tagging (sequence tagging / NER), query
expansion, and query/user intent modeling — and natural-language ("search in your own words") search experiences powered by
modern NLP and LLMs.
* 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.
* Example projects include: smart compose and language generation for search, LLM-based sequence taggers, LLM-driven
query/location expansion, intent classification, and user-intent sequence modeling.
Your Expertise:
* 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
* Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
* Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering,
feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. natural language
processing, personalization, search and recommendation, marketplace optimization).
* Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or
equivalent), data warehouse (eg. Hive).
* Industry experience building end-to-end Machine Learning models.
* Experience applying large language models and modern NLP — e.g., sequence tagging/NER, text generation, intent classification,
or embedding/representation learning.
* Familiarity with building natural-language, AI-native and agentic search experiences is a plus.
* Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data
pipelines, efficient algorithms, models).
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
$200,000—$235,000 USD
United States•Posted: Jul 15•Deadline: Aug 17
Tech Lead (Perm, USA, Remote + Travel)
This is a full-time, permanent opportunity for candidates based in the United States and authorized to work without sponsorship,
with a preference for those located on the East Coast. Please note that visa sponsorship is not available for this role.
This position also requires frequent travel to client sites within the U.S., with travel expenses covered by the company.
About Nearform
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and
capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable
results. In these ways, we partner with ambitious enterprises to deliver enduring impact.
Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach,
enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.
Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks,
Travelex, Virgin Media 02, and Walmart.
As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative
digital products.
Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging
cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high
quality, scalable solutions that solve real world problems.
About the Technical Lead Role:
As a Technical Lead at Nearform, you will be responsible for leading and guiding development teams while working directly with
clients to translate business and technical requirements into impactful applications. However, as you’ll likely work on a variety
of projects in your time here, your responsibilities may also include:
* Provide technical and line-management leadership to your development team.
* Take responsibility for the successful delivery of projects.
* Identify and resolve blockers before they become issues.
* Ensure best practices in software development, DevOps, and agile methodologies are upheld within the team.
* Work directly with clients, translating requirements into technical briefs.
* Shape and define architectural decisions ensuring scalability, security, and maintainability.
* Provide updates to client and Nearform leadership to ensure clear understanding of project status and drive good
decision-making.
What we are looking for in this person:
* Significant experience in software engineering and 2+ years of experience leading projects and mentoring as a Technical Lead.
For this particular role, we are looking for professional experience with Golang and/or Python and a modern Frontend tech stack
(React/ Angular/TypeScript).
* Experience with AI application development and Agentic frameworks and platforms (e.g., LangGraph, Agentspace, etc.)
* Experience working directly with clients or customers to understand technical requirements.
* Proven experience working with Kubernetes for container orchestration.
* Strong CI/CD experience, including hands-on work with Terraform, Helm, and other cloud-native IaC technologies.
* Deep understanding of observability practices, with practical experience using OpenTelemetry (OTel) and related tooling.
* Experience leading software engineering teams through technical delivery and either direct line management or mentoring.
* Deep understanding of agile ways of working, best practices and design patterns.
* Deep understanding of test-driven development and testing best practices.
* Deep understanding of version control tools, e.g. Git.
* Understanding of DevOps practices and cloud technologies (AWS, Azure, GCP)
* Understanding of operational concerns (such as monitoring, performance testing, security considerations, accessibility, GDPR)
* Empathy and people skills
Nice to have:
* Experience with Graph databases
Benefits & Perks:
* Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in
line with company performance.
* Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work
around what matters - school run, no problem!
* Flexible Time Off Package - We offer a flexible annual leave policy plus public holidays. We also offer sick leave, marriage
leave and many more.
* Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in USD) to help you set up a
comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
* Training and Development Allowance - Nearform is committed to supporting and investing in employees’ ongoing learning and
professional development. You will be encouraged to pursue relevant learning opportunities that support your growth and the
growth of others, subject to manager approval.
* Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If
you wish to learn more about the plan offered feel free to reach out to our team.
* 401k - We offer a 401k plan and match up to 4%, with no minimum entry requirements and immediate vesting of employers’
contributions.
Our Interview Process
1. 1. Talent Call (30 mins via Zoom)
An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career
goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us
assess initial alignment.
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2. Technical Assessment (1 hour via Zoom)
A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via
screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time
environment.
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3. Hiring Manager Interview (45 mins via Zoom)
A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an
enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.
There may also be an additional interview with the client depending on the project
READY TO JOIN US?
If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise
development, we’d love to hear from you.
Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous
learning.
Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity,
diversity and excellence.
If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know
so they can help.
Salary up to $200,000 + Bonus & Benefits
