#Team  Nextdoor

Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at  nextdoor.com .
Meet Your Future   Neighbors

At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including our newsfeed, our notifications, and our ads relevance. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees.
The   Impact   You'll Make

You will be part of a scrappy and impactful team building data-intensive products, working with data and features. You will help build the foundational Machine Learning (ML) infrastructure that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform. You should be comfortable with petabytes of data, writing crisp design documentation, and building, debugging, and maintaining highly available distributed systems. The Machine Learning platform that you build will empower developers throughout Nextdoor to build better ML products more quickly than ever before.

Your responsibilities will include:
You will design, implement and integrate the next generation of Machine Learning infrastructure to empower our Data Scientists and Machine Learning engineers to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
You will collaborate with other engineers and data scientists to create optimal experiences on the Core ML platform, including but not limited to: the featurestore, the real-time serving layer and the offline training system
What You'll Bring To The Team
Master / Ph.D. in Computer Science, Applied Math, Statistics, Engineering or a related field
3+ years of industry experience of applying machine learning at scale
3+ years of experience in building performant and scalable backend services
Experience with Python, Kubernetes, Go, Kafka, Docker, Spark, SQL, AWS and the Unix environment
Experience with machine learning libraries and frameworks like Xgboost, Sklearn, TensorFlow, PyTorch, etc
A deep empathy for customer needs and insights as well as an intuitive grasp of the business problems we're trying to solve
Extensive experience in one or more of the following languages: Python, Go, Java, or Scala
Experience in designing, building, and debugging distributed systems
Proven engineering skills. Experience of writing and maintaining high-quality production code
A strong ability to partner with other data engineers throughout the company, and consult, design, and review their projects
Strong collaboration and communication skills, both verbal and written
Ability to succeed in a dynamic startup environment
Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography.

The starting salary for this role is expected to range from $205,000 to $336,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.

We expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

#LI-Hybrid

<h3>Job Description</h3><div>Job Description<div>#TeamNextdoorNextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future NeighborsAt Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including our newsfeed, our notifications, and our ads relevance. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The Impact You'll MakeYou will be part of a scrappy and impactful team building data-intensive products, working with data and features. You will help build the foundational Machine Learning (ML) infrastructure that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform. You should be comfortable with petabytes of data, writing crisp design documentation, and building, debugging, and maintaining highly available distributed systems. The Machine Learning platform that you build will empower developers throughout Nextdoor to build better ML products more quickly than ever before. Your responsibilities will include: <ul><li>You will design, implement and integrate the next generation of Machine Learning infrastructure to empower our Data Scientists and Machine Learning engineers to build machine learning (ML) models that make real-time decisions for the Nextdoor platform</li><li>You will collaborate with other engineers and data scientists to create optimal experiences on the Core ML platform, including but not limited to: the featurestore, the real-time serving layer and the offline training system</li></ul>What You'll Bring To The Team<ul><li>Master / Ph.D. in Computer Science, Applied Math, Statistics, Engineering or a related field</li><li>3+ years of industry experience of applying machine learning at scale</li><li>3+ years of experience in building performant and scalable backend services</li><li>Experience with Python, Kubernetes, Go, Kafka, Docker, Spark, SQL, AWS and the Unix environment</li><li>Experience with machine learning libraries and frameworks like Xgboost, Sklearn, TensorFlow, PyTorch, etc</li><li>A deep empathy for customer needs and insights as well as an intuitive grasp of the business problems we're trying to solve</li><li>Extensive experience in one or more of the following languages: Python, Go, Java, or Scala</li><li>Experience in designing, building, and debugging distributed systems</li><li>Proven engineering skills. Experience of writing and maintaining high-quality production code</li><li>A strong ability to partner with other data engineers throughout the company, and consult, design, and review their projects</li><li>Strong collaboration and communication skills, both verbal and written</li><li>Ability to succeed in a dynamic startup environment</li></ul>RewardsCompensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography.The starting salary for this role is expected to range from $205,000 to $336,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.We expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date will take place within 3 months of your start date.When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.#LI-Hybrid</div></div>

<h3>Job Description</h3><div>Job Description<div>#TeamNextdoorNextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.Meet Your Future NeighborsAt Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees.The Impact You'll Make<ul><li>You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform</li><li>Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform</li><li>Analyze datasets and and use important features to build low-latency models for decisions that need to be made quickly</li><li>Deploy ML models into production environments and integrate them into the product</li><li>Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics</li><li>Collaborate with other engineers and data scientists to create optimal experiences on the platform</li><li>Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises</li><li>Build in-person relationships with team members and contribute to Nextdoor's company culture</li></ul>What You'll Bring To The Team<ul><li>B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field</li><li>2+ years of industry/academic experience of applying machine learning at scale</li><li>Experience of building ML models for advertising products</li><li>Proven engineering skills. Experience of writing and maintaining high-quality production code</li><li>Ability to work with and analyze large amounts of data</li><li>Ability to succeed in a dynamic startup environment</li></ul>RewardsCompensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.The starting salary for this role is expected to range from $190,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.#LI-Hybrid #LI-Remote</div></div>

#TeamNextdoor Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees. The Impact You'll Make <ul> <li>You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform </li><li>Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform </li><li>Analyze datasets and and use important features to build low-latency models for decisions that need to be made quickly </li><li>Deploy ML models into production environments and integrate them into the product </li><li>Run and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metrics </li><li>Collaborate with other engineers and data scientists to create optimal experiences on the platform </li><li>Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises </li><li>Build in-person relationships with team members and contribute to Nextdoor's company culture </li></ul>What You'll Bring To The Team <ul> <li>B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field </li><li>4+ years of industry/academic experience in applying machine learning at scale </li><li>Experience building ML models for consumer-facing products </li><li>Proven engineering skills, with experience in writing and maintaining high-quality production code </li><li>Ability to work with and analyze large amounts of data </li><li>Ability to succeed in a dynamic startup environment </li><li>Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required </li><li>Experience mentoring junior engineers and planning roadmaps </li></ul>Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $195,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision - and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid #LI-Remote

#Team  Nextdoor

Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future   Neighbors

At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees.
The   Impact   You'll Make
You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform
Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
Analyze datasets and and use important features to build low-latency models for decisions that need to be made quickly
Deploy ML models into production environments and integrate them into the product
Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics
Collaborate with other engineers and data scientists to create optimal experiences on the platform
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
Build in-person relationships with team members and contribute to Nextdoor's company culture
What You'll Bring To The Team
B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field
2+ years of industry/academic experience of applying machine learning at scale
Experience of building ML models for advertising products
Proven engineering skills. Experience of writing and maintaining high-quality production code
Ability to work with and analyze large amounts of data
Ability to succeed in a dynamic startup environment
Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $190,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.

We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision - and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.
#LI-Hybrid #LI-Remote

#Team  Nextdoor

Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at  nextdoor.com .
Meet Your Future Neighbors

At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees.
The Impact You'll Make
You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform
Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
Analyze datasets and and use important features to build low-latency models for decisions that need to be made quickly
Deploy ML models into production environments and integrate them into the product
Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics
Collaborate with other engineers and data scientists to create optimal experiences on the platform
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
Build in-person relationships with team members and contribute to Nextdoor's company culture
What You'll Bring To The Team
B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field
2+ years of industry/academic experience of applying machine learning at scale
Experience building ML models for consumer facing products
Proven engineering skills, with experience of writing and maintaining high-quality production code
Ability to work with and analyze large amounts of data
Ability to succeed in a dynamic startup environment
Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graph, Ads or NLP at scale is required
Experience mentoring junior engineers and planning roadmaps
Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $190,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.

We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision - and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.
#LI-Hybrid #LI-Remote

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