Senior Engineer jobs at Nextdoor - 4699 jobs

A leading financial technology firm in San Francisco seeks a Senior Engineering Manager to lead engineering teams driving growth. The ideal candidate has over 8 years in software engineering, strong Salesforce expertise, and excellent leadership skills. This hybrid role allows flexibility with a minimum of two office days per week, focusing on architecting solutions and guiding technical projects. Expect a salary range of $300,000 - $375,000. #J-18808-Ljbffr

A leading sports technology company based in San Francisco is seeking a Senior Machine Learning Platform Engineer. This role involves driving AI/ML projects from start to finish, working with extensive datasets, and contributing to a popular consumer product. The ideal candidate should have a strong machine learning background and technical leadership experience. The position follows a hybrid model requiring on-site collaboration three days a week. #J-18808-Ljbffr

A Silicon Valley-based tech company is seeking a skilled AI Engineer to lead the maintenance and enhancement of AI solutions. The role involves optimizing AI systems, developing models, and managing APIs, predominantly using AWS services. Ideal candidates should have a strong background in AI development, proficiency in Python, and at least 6 years of experience. The position offers a competitive salary of $180,000 - $200,000 with comprehensive benefits and growth opportunities. #J-18808-Ljbffr

A leading AI technology firm is seeking an Engagement Manager in San Francisco to drive customer relationships and manage critical operational processes. The ideal candidate has 4-9 years of experience in consulting or technical program management and excels in building long-term customer partnerships. Responsibilities include managing SLA compliance and improving operational performance. Competitive compensation and benefits are provided. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A leading AI infrastructure company in San Francisco seeks an experienced engineer to build and improve core ML systems for training custom AI models. The role requires 2+ years of experience in training AI models, proficiency in PyTorch, and familiarity with NVIDIA GPUs. Responsibilities include leading projects from data intake through the full training pipeline, building data processing systems, and creating visualization tools. Competitive salary ranging from $220K to $320K plus equity and benefits offered. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

About AirGarage AirGarage is on a mission to bring real estate online, starting with parking. We replace broken parking machines, fragmented software, and manual, labor-intensive operations with a unified, data-rich operating system for parking real estate. We handle everything it takes to run and optimize a parking asset: payments, dynamic pricing, enforcement, license plate recognition, analytics, and more. By building all of our technology in-house, we are able to deliver a magical experience for drivers while providing real‑time visibility and revenue increases of 20‑50% or more for real estate owners. That's why national real‑estate leaders like Hines and Greystar, as well as technology companies like Meta, partner with AirGarage to optimize their parking facilities. AirGarage uses datapoints such as real‑time occupancy, local events, weather, driver behavior, competitor pricing, and more to bring true intelligence to real estate owners' assets for the first time. We're investing aggressively to make the physical world legible to a digital system: cameras, sensors, and software that generate a firehose of real‑time data about the world around us. That data fuels models and algorithms that allow us to optimize performance at each property while giving owners the clarity and control they've never had before. Before you can optimize an asset, you need to observe it. Before you can observe it, you need to bring it online. We are starting with the $131 billion US parking real estate market because it is one of the most offline and mismanaged commercial real estate asset types. 26% of the land area in the median American urban core is dedicated to parking. We are backed by top tier investors including Headline Growth, Andreessen Horowitz, Floodgate, Founders Fund, Abstract Ventures, and angel investors who have founded or worked at companies like Uber, Opendoor, Flexport, and more. Want to learn more about AirGarage and the problem we're tackling? Check out these podcasts: ******************************************* ************************************************ THE ROLE 👨💻 We are looking for an Embedded Software Engineer to build and maintain the edge applications that power our next‑generation LPR (license plate recognition) devices. You will shape how these systems operate in the field, from the Linux layer to the applications that capture, process, and transmit video and metadata at scale. You will own the delivery of reliable, production‑grade software that runs on thousands of devices. Your work will keep our hardware online and performant, integrate seamlessly with our backend, and influence system design choices that define how our products evolve. You will strengthen our embedded software stack and drive improvements that make deployments faster, updates smoother, and performance more robust. This role offers the opportunity to make a visible impact on real‑world systems. It is ideal for someone who thrives at the intersection of Linux platforms and application development and who wants to see their work directly improve the performance and reliability of products in the field. Our stack: Devices: Embedded Linux (Debian, Yocto), Python, C++ Observability: DataDog, Hex, SQL Data: Postgres, Snowflake Infra: AWS, GCP, Docker, RabbitMQ, Redis, Github Actions Backend: Python, Django, DRF WHAT YOU WILL DO 🚀 Architect and evolve the embedded software stack (defining system boundaries, module interfaces, and communication flows) to ensure scalability, maintainability, and efficient integration with backend services. Build and maintain edge applications on embedded Linux devices, including software for real‑time video capture and processing. Customize and extend Yocto‑based Linux builds to support production hardware and future device features. Implement and maintain software for computer vision, OCR, or other ML inference tasks at the edge. Develop and maintain containerized environments using Docker to streamline testing, deployment, and reproducibility. Contribute to OTA (over‑the‑air) update pipelines and automated testing frameworks to ensure reliable deployments across the fleet. Integrate devices with backend systems using pub/sub messaging frameworks (ex. NATS JetStream, Kafka, Redis, or MQTT) to connect devices with backend infrastructure. Collaborate closely with hardware engineers to optimize software for sensors, cameras, and other peripherals. Troubleshoot and debug board and system level issues using logs, schematics, Linux tools, and protocol analysis. Author clear documentation, best practices, and internal guides to support the team and streamline problem solving. WHAT YOU NEED 🧠 5+ years of professional software engineering experience developing embedded Linux or edge applications. Strong proficiency in Python and Bash, with experience shipping production‑quality code. Command‑line comfort: you should live in the terminal. Experience with Docker for creating consistent testing and deployment environments. Hands‑on experience with Yocto/bitbake to customize and build Linux images for production hardware. Familiarity with OTA update frameworks and tools (ex. Mender) and managing software across a device fleet. Hands‑on experience with Linux systems (dmesg, journalctl, ip, systemd, etc.) and debugging distributed hardware/software environments. Familiarity with observability and monitoring tools (e.g., DataDog, OpenTelemetry, Prometheus, Grafana) and building internal tooling for device health and alerting. Excellent written and verbal communication skills; able to translate complex technical findings into clear reports and playbooks. Self‑starter who thrives in a fast‑paced, ownership‑driven environment. NICE TO HAVE 🌟 Experience with computer vision, OCR, or running ML models at the edge for real‑time video or sensor processing. Background in RTOS or microcontroller development (Zephyr, FreeRTOS). Proficiency in C++ and SQL. Low‑level userland familiarity: memory pages, cache locality, POSIX commands. Knowledge of hardware interfaces such as CAN, I2C, SPI, and RS485. Exposure to automated testing, CI/CD pipelines, or Hardware‑in‑the‑Loop validation setups. Background in cellular (4G LTE, CAT 4, CAT 1bis, 5G RedCap), WiFi, WiFi HaLow, or other wireless connectivity. Robotics or industrial controls background is a plus. IMPORTANT NOTE 🚨 AirGarage is a remote‑first company, but we also value in‑person collaboration to strengthen trust and teamwork. Team members should expect ~6 weeks of travel per year for: 2-3 full company offsites, “Remote Weeks” Lending a hand to support 2 new location launches In‑person onboarding as well as supporting other onboarding sessions for new team members The rest of the year, team members can work remotely from wherever (US time zones) they're most comfortable as long as they are performing well in their role. Attendance at in‑person events throughout the year is expected-if you're not open to traveling ~6 weeks per year for work, this role isn't a good fit for you. THE UPSIDE 📈 📈 Equity: Have a stake in the business that you're helping to build and grow. 🌴 Work remotely: Live and work wherever you like! We believe in folks working where they are happiest and most productive. We currently hire teammates that are located anywhere within North America. 🏥 Health insurance: We offer health insurance and currently cover 85% of the cost of medical, dental, and vision plans for the primary employee and 50% of the cost of plans for dependents. 🍼 Parental Leave: We offer 12 weeks of fully paid parental leave to all parents to bond with a newly born, adopted, or fostered child. The 12 weeks can be taken as a continuous leave or intermittently over the first 18 months of the child's life. 💻 Home office setup: Get a laptop + additional equipment needed to set you up for success. ⛺ Time to recharge: We have an unlimited PTO policy with a minimum requirement of 10 days per year. 🤑 401k: Make financial planning right for you with a 401k retirement savings program. ✈️ Team Off‑sites: ~2 times per year our team comes together for a full week in places like Tahoe, Puerto Vallarta, San Diego, and Austin. 📚 BookGarage: Our team loves to learn and grow together so join us for our optional recurring book club. 🪴 Room to grow: Our team will be orders of magnitude larger within a few years, as a part of our foundational team you'll have opportunities to grow with us. 🏙️ Transform our cities: The opportunity to change the way that the world thinks about real estate use in our cities. 👐 Work with a diverse team: At AirGarage, we've always been committed to building a thriving team that represents the communities we serve. Our team is currently 40% female and 30%+ from underrepresented communities. We understand that there's no such thing as a 'perfect' candidate. We're looking for someone passionate, with grit and determination, who is excited to face the challenges of a rapidly growing startup. AirGarage is the type of company where you can grow exponentially, and we encourage you to apply to us even if you don't 100% match the candidate description. AirGarage is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status. #J-18808-Ljbffr

This role will be part of the runtime team which is responsible for the entire on-vehicle AD system integration, optimization, and core feature development. In this role, you will collaborate cross-functionally to define and implement sensor & vehicle interface CAN integration, diagnostics in AutoSAR safety domain, etc. You will also be responsible for the new vehicle platform and actuators integration, develop tools and procedures for new vehicle bring-up, and regular travel to our partner's proving ground to do on-vehicle testing and validation. Responsibilities Integrate CAN DBCs from different vehicle platforms and sensors into AUTOSAR communication stack Maintain and fine-tune autonomous safety features implemented within the AUTOSAR stack Design and implement AUTOSAR UDS and DEM (Diagnostic Event Manager) stack Design and Implement autonomous software diagnostics stack and DTC codes, with event-chain based reporting capability Support on-demand troubleshoot of vehicle and system related issues reported by external partners, internal testing / operations team, or diagnostic tools. Support new vehicle platform integration and bring-up activities, such as flashing and configuring of sensors and ECUs, resolving vehicle integration issues, data collection, parameter tuning, etc. Create and execute vehicle tests and testing plans/campaigns per internal and customer requirements. Execute development tests in coordination with test management and developers. Travel up to 50% of the time to support on-vehicle testing of embedded systems and autonomous driving stacks. Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills Masters or Phd in Computer Science, Mechatronics, Electrical Engineering, or a related field. Proficient in C Programming Self-motivated and passionate about autonomous driving Willingness to travel and work in different environments, including on and around Class-8 commercial vehicles Proficient in Linux and GIT development workflow Knowledge of real-time operating systems and embedded software best practices, with hands-on experience in AUTOSAR Familiarity with embedded SW debugging tools (Lauterbach, ISystem, etc.), Vector tools (CANalyzer, CANoe, etc.) Clear understanding of communication protocols in automotive like CAN/CAN-FD, LIN, SPI, Ethernet, and diagnostic protocols like UDS and J1939 Hands-on experience in DTC / UDS design and AutoSAR DEM (Diagnostic Event Manager) implementation for Autonomous / ADAS systems, including Diagnostic Event Chain implementation Understanding of different Level of SW testing and experience in building automation testing infrastructure Proven teamwork, communication, analytical, and systematic working skills Preferred Skills Familiarity with Python and C++ programming Understanding of autonomous driving software stack Basic understanding of different sensor concepts (camera/lidar/radar/gps/imu) Basic understanding of hardware / electronics, familiar with vehicle harnesses Experience with Infineon Aurix MCU and automotive high-performance SOC embedded systems $130,000 - $180,000 a year #J-18808-Ljbffr

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr

Pronto is looking for a Robotics Engineer who thrives at system-level debugging and end-to-end feature delivery-taking autonomy capabilities from prototype to reliable performance on real vehicles. You'll develop, test, and deploy features for our autonomous trucks, and you'll serve as a technical lead during deployments, owning bring-up, triage, and cross-team coordination in mission-critical environments. What You'll Be Doing Develop, integrate, and validate autonomy features (software + tests) for real-world autonomous vehicle operation. Own system-level debugging: diagnose issues across sensors, compute, networking, controls, and software stacks using logs, metrics, and on-vehicle tools. Lead technical execution for deployments: drive bring-up plans, communicate technical requirements, identify risks, and coordinate fixes with engineering and operations. Support field deployments in mission-critical environments, including periodic travel to customer sites and hands-on on-vehicle debugging. Bring up and integrate new truck platforms: work with hardware and integration teams to add sensors and vehicle signals, calibrate systems, and tune performance. Collaborate across disciplines (hardware, operations, safety, product) to deliver robust, safe, and maintainable autonomy behavior. Travel note: This role requires periodic travel to customer sites (up to 10%). Schedule note: Some schedule flexibility may be required during deployments. Required Qualifications 2+ years of professional (non-internship) software development experience. Strong programming skills in at least one modern language (Python, C++, Java, or C#); experience with object-oriented design and building maintainable systems. Proven robotics engineering experience with evidence of system-level ownership (e.g., integration, debugging, performance tuning, field support, or deployments). Ability to design and debug software systems with strong diagnostics (structured logging/metrics, fault isolation, testability) that scale beyond a single vehicle. Working knowledge of core robotics concepts and math (e.g., state estimation/Kalman filtering, localization, planning, controls). Comfort operating in ambiguity-able to define scope, interfaces, milestones, and success criteria to drive a problem to completion. Strong communication and collaboration skills, including the ability to explain technical trade-offs to non-technical partners. Demonstrated ability to lead technical projects through planning, execution, and deployment. Preferred Qualifications Experience deploying autonomy/robotics systems in the field (on-call or deployment rotations, safety-critical troubleshooting, or customer-site support). Experience with any of: sensor fusion, safety systems, camera pipelines, ML for perception, vehicle interfaces (CAN), calibration workflows. Familiarity with robotics tooling and infrastructure (Linux, Git, CI/CD, simulation/test harnesses). #J-18808-Ljbffr

A leading AV technology company in San Francisco is seeking a skilled Robotics Engineer to develop and deploy features for autonomous vehicles. This role involves system-level debugging, technical leadership during deployments, and collaboration across various teams. The ideal candidate has over 2 years of software development experience, strong programming skills, and a good understanding of robotics concepts. This position requires up to 10% travel for field deployments and flexibility during critical project timelines. #J-18808-Ljbffr

While most Autonomous Vehicle (AV) technology companies are stuck in R&D mode, Pronto is a world‑leader in commercializing AV tech via our Autonomous Haulage System, which is automating haulage operations at mines and quarries around the world. Pronto's team of Silicon Valley veterans has been at the forefront of every major AV development over the past 20 years, with a relentless focus on commercializing the technology, leading to our current specialization in off‑road applications. This focus and our decades of experience have put Pronto on a track to become the world's first profitable AV technology company. Our first product is an Autonomous Haulage System (AHS) that enables mines, quarries, and construction sites to deploy autonomous vehicles inside their existing operations to improve site safety and add efficiency gains. Robotics Engineer (Autonomy Deployments & Systems Integration) Pronto is looking for a Robotics Engineer who thrives at system‑level debugging and end‑to‑end feature delivery-taking autonomy capabilities from prototype to reliable performance on real vehicles. You'll develop, test, and deploy features for our autonomous trucks, and you'll serve as a technical lead during deployments, owning bring‑up, triage, and cross‑team coordination in mission‑critical environments. What You'll Be Doing Develop, integrate, and validate autonomy features (software + tests) for real‑world autonomous vehicle operation. Own system‑level debugging: diagnose issues across sensors, compute, networking, controls, and software stacks using logs, metrics, and on‑vehicle tools. Lead technical execution for deployments: drive bring‑up plans, communicate technical requirements, identify risks, and coordinate fixes with engineering and operations. Support field deployments in mission‑critical environments, including periodic travel to customer sites and hands‑on on‑vehicle debugging. Bring up and integrate new truck platforms: work with hardware and integration teams to add sensors and vehicle signals, calibrate systems, and tune performance. Collaborate across disciplines (hardware, operations, safety, product) to deliver robust, safe, and maintainable autonomy behavior. Travel note: This role requires periodic travel to customer sites (up to 10%) Schedule note: Some schedule flexibility may be required during deployments Required Qualifications 2+ years of professional (non‑internship) software development experience. Strong programming skills in at least one modern language (Python, C++, Java, or C#); experience with object‑oriented design and building maintainable systems. Proven robotics engineering experience with evidence of system‑level ownership (e.g., integration, debugging, performance tuning, field support, or deployments). Ability to design and debug software systems with strong diagnostics (structured logging/metrics, fault isolation, testability) that scale beyond a single vehicle. Working knowledge of core robotics concepts and math (e.g., state estimation/Kalman filtering, localization, planning, controls). Comfort operating in ambiguity-able to define scope, interfaces, milestones, and success criteria to drive a problem to completion. Strong communication and collaboration skills, including the ability to explain technical trade‑offs to non‑technical partners. Demonstrated ability to lead technical projects through planning, execution, and deployment. Preferred Qualifications Experience deploying autonomy/robotics systems in the field (on‑call or deployment rotations, safety‑critical troubleshooting, or customer‑site support). Experience with any of: sensor fusion, safety systems, camera pipelines, ML for perception, vehicle interfaces (CAN), calibration workflows. Familiarity with robotics tooling and infrastructure (Linux, Git, CI/CD, simulation/test harnesses). Pronto is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

A tech company in San Francisco is seeking an IAM Solutions Engineer to evaluate identity workflows and access-control policies. The role involves analyzing authentication flows and identifying security gaps across identity systems. Candidates should have strong experience with IAM platforms and must understand protocols like SAML and OAuth. This position offers a salary range of $40 - $80 an hour and provides an opportunity to make impactful improvements in identity systems. #J-18808-Ljbffr

A technology company in San Francisco is looking for an experienced Electrical Engineer to contribute to the design and development of wearable electronics. The ideal candidate should have over 10 years of experience in complex electrical engineering projects, possess strong skills in both analog and digital domains, and enjoy working collaboratively across teams. This full-time position offers competitive benefits, including health, dental, and 401k matching, making it a great opportunity for passionate professionals. #J-18808-Ljbffr

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) 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 As an iOS Platform Tech Lead at Nextdoor, you'll join a small but mighty team of engineers dedicated to improving the iOS app infrastructure, streamlining developer processes, and maintaining stable and smooth app releases. As part of the Core Platform team, our mission is to create a delightful developer experience that empowers teams to build their features quickly and safely. We build paved roads so that product engineers can focus their efforts on building features that serve our neighbors and drive our business. We create infrastructure that makes the easy things work out of the box and the hard things possible. We build performance and scalability into the platform itself so that Nextdoor is safe and fast by default. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make Our platform teams have high autonomy and are empowered to identify opportunities, lead cross-team initiatives, and drive their own roadmaps. You will work on improving the developer experience through: Guiding the technical direction of the team Leading and supporting fellow iOS engineers Collaborating with cross-functional teams to provide technical support and solutions Building and maintaining infrastructure Improving code health and architecture Optimizing day-to-day developer activities We believe engineers should have a stake over all aspects of the product - from coming up with the next big ideas to build, through helping set expectations and plan roadmaps, all the way through understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you'll also get the chance to mentor other team members, and grow your role towards what you're most passionate about. What You'll Bring to The Team 8+ Years of experience in a Mobile Development role Advanced expertise in iOS development, Swift, and Xcode, including the build system Experience with building complex, high-quality iOS applications, and strong knowledge of iOS app design principles, patterns, testing, and best practices Experience in improving and maintaining code health and architecture of an iOS codebase Experience leading and mentoring fellow engineers. Enthusiastic about up-leveling our engineering culture 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 Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Bonus Points Experience managing build and automated release infrastructure. Proficiency with CI/CD platforms (Bitrise, CircleCI, or other) Experience with the Combine and TCA frameworks Experience writing automated tests for iOS applications Github, GQL Improving development processes and tools. Proficiency with scripting 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 $210,000 to $349,000 on an annualized basis, or potentially higher if your 'level' of proficiency exceeds the expected level for the role. We expect to award a meaningful equity grant for this role. With 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.