Senior Machine Learning Operations Engineer

#TeamNextdoor Nextdoor is where you connect to the neighborhoods that are important to you so you can feel a sense of belonging. Our goal is to nurture a kinder world in which everyone has a neighborhood they can trust. Neighbors around the globe turn to Nextdoor daily in order to access reliable information, offer and receive assistance, accomplish various things, and establish tangible relationships with those nearby — neighbors, businesses, and public services. Currently, neighbors in over 305,000 neighborhoods across 11 countries rely on Nextdoor. Meet Your Future Neighbors At Nextdoor, we are expanding one of our key teams - machine learning. Machine learning is starting to revolutionize our product through personalization, driving significant impact across different parts of our platform including our newsfeed, our notifications, and the relevance of our ads. Our machine learning team is compact yet eager to drive further impact and turn Nextdoor into a local hub for neighborhood exchange. We believe that machine learning will be essential to making Nextdoor valuable to our members. We also think that machine learning should be ethical and promote healthy habits and interaction, not addictive behavior. We are seeking exceptional engineers who believe in the power of local community to empower our members and make their communities great places to live. At Nextdoor, we provide a welcoming and inclusive work environment that features a hybrid work experience, offering flexibility to our treasured employees. The Impact You’ll Make You would be part of an agile and impactful team developing data-intensive products and working with data and features. You will assist in constructing the fundamental Machine Learning (ML) infrastructure that ML engineers will utilize for years as we accelerate our efforts to incorporate machine learning into our platform. You should be comfortable handling petabytes of data, writing clear design documentation, and building, debugging, and maintaining highly available distributed systems. The Machine Learning platform you construct will enable developers across Nextdoor to create superior ML products faster than ever before. What You’ll Bring To The Team - You will design, implement and integrate the next generation of Machine Learning infrastructure to enable 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 - Have a strong empathy for customer needs and insights as well as an intuitive understanding of the business problems we’re aiming 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 in writing and maintaining high-quality production code - Strong ability to work with other data engineers across the company, and consult, design, and review their projects - Strong collaboration and communication skills, both verbal and written - Ability to thrive in a dynamic startup environment Your responsibilities will include: - Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team-building exercises - Build in-person relationships with team members and contribute to the KIND culture valued at Nextdoor Bonus Points - Master/Ph.D. in Computer Science, Applied Mathematics, Statistics, Engineering, or a related field - 4+ years of industry experience in applying machine learning on a large scale - 4+ 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 Rewards Remuneration, benefits, perks, and recognition programs at Nextdoor come together to form one overall rewards package. The starting salary for this role is expected to range from $207,000 to $230,000 annually, or potentially higher if your 'level' of proficiency surpasses the expected level for the role. Compensation may also vary based on location. We also anticipate offering a significant equity grant for this role. Your first vesting date would be within the first 3 months of your start date, with an equal quarterly vesting. The total compensation will depend on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose from a variety of excellent health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and offer a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. We strive to have a workforce as diverse as the neighbors we aim to serve and 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. As per the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about how we collect and use applicants' personal information, please consult Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid