25 jobs found

Job DescriptionJob Description Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our products - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. About the team The Marketing Technology (MarTech) team is a newly formed team building the measurement, attribution, and operations infrastructure that powers user acquisition across Match Group's portfolio of dating apps: Tinder, Hinge, Match, Chispa, The League, Plenty of Fish, and more. Our charter spans the full path: the marketing and attribution SDKs embedded in the apps, the server-side event delivery that feeds our ad platforms and warehouse, and the tooling marketers use to run campaigns, manage creative, and sync audiences. About the role We're hiring a versatile engineer who can work on a mobile platform (iOS or Android) and the backend / full stack. You'll be hands-on in the apps, instrumenting them and building the server-side services behind them, as well as on the marketing operations tooling our teams run on. This is a rare full-spectrum role for someone who genuinely likes owning a feature from the client SDK all the way to the server. This is a ground-floor opportunity. Because the team is early and serves the entire Match Group portfolio, you'll build the marketing technology that every brand relies on, contribute to the team's foundations and standards as they take shape, and grow your scope alongside the team. You'll also help power our move toward more AI-native marketing operations, building the tooling and agent-ready infrastructure that lets our marketers work in fundamentally new ways. It's a great place to grow: the work has real reach, and there's room to take on more as you do. Most of all, we're looking for someone who's genuinely passionate about marketing technology: you're excited by attribution, measurement, and the systems that make marketing work, and you want to go deep on the domain rather than treat it as just another stack. What you'll work on: Work on this team spans two broad areas, and you'll move between them as priorities shift: MarTech implementation - keeping our foundational MarTech stack on the clients healthy and well-maintained: Marketing and attribution event instrumentation in our iOS and Android apps Privacy and consent handling Event delivery that feeds our attribution partners, ad platforms, and data warehouse Marketing operations tooling - building the platforms and services marketers and analysts run on: Programmatic ad-platform management Marketing tooling such as creative management systems and Audience syncing AI/agent-driven workflows and MCP's What we're looking for: 4+ years building and shipping production software, with hands-on experience on iOS (Swift) or Android (Kotlin), including SDK integration and the App Store / Play Store release lifecycle Full-stack / backend experience: building APIs and server-side services in a modern language (e.g. Node, Python, Go, or Kotlin), or a strong foundation and the drive to grow into it Familiarity with cloud infrastructure and CI/CD Demonstrated ability to take ambiguous or unowned problems (several items in this scope have no current owner) and drive them to resolution Active, effective use of AI tooling (Claude Code, Copilot, etc.) to ramp on unfamiliar code and ship faster Comfort owning your work end to end and moving between the client and the backend Interest in building MCP servers/tools to expose our platforms to Claude and other agents Nice to have Experience across both iOS (Swift) and Android (Kotlin) Experience with marketing / attribution SDKs (AppsFlyer, Firebase, Adjust, Branch), SKAdNetwork, and the Google Play Install Referrer API Ad-platform APIs (Meta, Google Ads, TikTok) and server-side tracking (Meta CAPI, server-side GTM) Experience building LLM-powered or agentic tooling, including MCP MarTech / AdTech domain background The salary range for this position is $180,000 - $215,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 14 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require a reasonable accommodation to participate in the hiring process - such as during pre-employment testing or interviews - please indicate this by selecting "Yes" in the accommodation request field. We'll reach out to discuss your needs if you're selected for the interview stage.

Job DescriptionJob Description Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our products - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. About the team The Marketing Technology (MarTech) team is a newly formed team building the measurement, attribution, and operations infrastructure that powers user acquisition across Match Group's portfolio of dating apps: Tinder, Hinge, Match, Chispa, The League, Plenty of Fish, and more. Our charter spans the full path: the marketing and attribution SDKs embedded in the apps, the server-side event delivery that feeds our ad platforms and warehouse, and the tooling marketers use to run campaigns, manage creative, and sync audiences. About the role We're hiring a versatile engineer who can work on a mobile platform (iOS or Android) and the backend / full stack. You'll be hands-on in the apps, instrumenting them and building the server-side services behind them, as well as on the marketing operations tooling our teams run on. This is a rare full-spectrum role for someone who genuinely likes owning a feature from the client SDK all the way to the server. This is a ground-floor opportunity. Because the team is early and serves the entire Match Group portfolio, you'll build the marketing technology that every brand relies on, contribute to the team's foundations and standards as they take shape, and grow your scope alongside the team. You'll also help power our move toward more AI-native marketing operations, building the tooling and agent-ready infrastructure that lets our marketers work in fundamentally new ways. It's a great place to grow: the work has real reach, and there's room to take on more as you do. Most of all, we're looking for someone who's genuinely passionate about marketing technology: you're excited by attribution, measurement, and the systems that make marketing work, and you want to go deep on the domain rather than treat it as just another stack. What you'll work on: Work on this team spans two broad areas, and you'll move between them as priorities shift: MarTech implementation - keeping our foundational MarTech stack on the clients healthy and well-maintained: Marketing and attribution event instrumentation in our iOS and Android apps Privacy and consent handling Event delivery that feeds our attribution partners, ad platforms, and data warehouse Marketing operations tooling - building the platforms and services marketers and analysts run on: Programmatic ad-platform management Marketing tooling such as creative management systems and Audience syncing AI/agent-driven workflows and MCP's What we're looking for: 4+ years building and shipping production software, with hands-on experience on iOS (Swift) or Android (Kotlin), including SDK integration and the App Store / Play Store release lifecycle Full-stack / backend experience: building APIs and server-side services in a modern language (e.g. Node, Python, Go, or Kotlin), or a strong foundation and the drive to grow into it Familiarity with cloud infrastructure and CI/CD Demonstrated ability to take ambiguous or unowned problems (several items in this scope have no current owner) and drive them to resolution Active, effective use of AI tooling (Claude Code, Copilot, etc.) to ramp on unfamiliar code and ship faster Comfort owning your work end to end and moving between the client and the backend Interest in building MCP servers/tools to expose our platforms to Claude and other agents Nice to have Experience across both iOS (Swift) and Android (Kotlin) Experience with marketing / attribution SDKs (AppsFlyer, Firebase, Adjust, Branch), SKAdNetwork, and the Google Play Install Referrer API Ad-platform APIs (Meta, Google Ads, TikTok) and server-side tracking (Meta CAPI, server-side GTM) Experience building LLM-powered or agentic tooling, including MCP MarTech / AdTech domain background The salary range for this position is $180,000 - $215,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 14 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require a reasonable accommodation to participate in the hiring process - such as during pre-employment testing or interviews - please indicate this by selecting "Yes" in the accommodation request field. We'll reach out to discuss your needs if you're selected for the interview stage.

Job DescriptionJob Description Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our products - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. About the team The Marketing Technology (MarTech) team is a newly formed team building the measurement, attribution, and operations infrastructure that powers user acquisition across Match Group's portfolio of dating apps: Tinder, Hinge, Match, Chispa, The League, Plenty of Fish, and more. Our charter spans the full path: the marketing and attribution SDKs embedded in the apps, the server-side event delivery that feeds our ad platforms and warehouse, and the tooling marketers use to run campaigns, manage creative, and sync audiences. About the role We're hiring a versatile engineer who can work on a mobile platform (iOS or Android) and the backend / full stack. You'll be hands-on in the apps, instrumenting them and building the server-side services behind them, as well as on the marketing operations tooling our teams run on. This is a rare full-spectrum role for someone who genuinely likes owning a feature from the client SDK all the way to the server. This is a ground-floor opportunity. Because the team is early and serves the entire Match Group portfolio, you'll build the marketing technology that every brand relies on, contribute to the team's foundations and standards as they take shape, and grow your scope alongside the team. You'll also help power our move toward more AI-native marketing operations, building the tooling and agent-ready infrastructure that lets our marketers work in fundamentally new ways. It's a great place to grow: the work has real reach, and there's room to take on more as you do. Most of all, we're looking for someone who's genuinely passionate about marketing technology: you're excited by attribution, measurement, and the systems that make marketing work, and you want to go deep on the domain rather than treat it as just another stack. What you'll work on: Work on this team spans two broad areas, and you'll move between them as priorities shift: MarTech implementation - keeping our foundational MarTech stack on the clients healthy and well-maintained: Marketing and attribution event instrumentation in our iOS and Android apps Privacy and consent handling Event delivery that feeds our attribution partners, ad platforms, and data warehouse Marketing operations tooling - building the platforms and services marketers and analysts run on: Programmatic ad-platform management Marketing tooling such as creative management systems and Audience syncing AI/agent-driven workflows and MCP's What we're looking for: 4+ years building and shipping production software, with hands-on experience on iOS (Swift) or Android (Kotlin), including SDK integration and the App Store / Play Store release lifecycle Full-stack / backend experience: building APIs and server-side services in a modern language (e.g. Node, Python, Go, or Kotlin), or a strong foundation and the drive to grow into it Familiarity with cloud infrastructure and CI/CD Demonstrated ability to take ambiguous or unowned problems (several items in this scope have no current owner) and drive them to resolution Active, effective use of AI tooling (Claude Code, Copilot, etc.) to ramp on unfamiliar code and ship faster Comfort owning your work end to end and moving between the client and the backend Interest in building MCP servers/tools to expose our platforms to Claude and other agents Nice to have Experience across both iOS (Swift) and Android (Kotlin) Experience with marketing / attribution SDKs (AppsFlyer, Firebase, Adjust, Branch), SKAdNetwork, and the Google Play Install Referrer API Ad-platform APIs (Meta, Google Ads, TikTok) and server-side tracking (Meta CAPI, server-side GTM) Experience building LLM-powered or agentic tooling, including MCP MarTech / AdTech domain background The salary range for this position is $180,000 - $215,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 14 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require a reasonable accommodation to participate in the hiring process - such as during pre-employment testing or interviews - please indicate this by selecting "Yes" in the accommodation request field. We'll reach out to discuss your needs if you're selected for the interview stage.

Job DescriptionJob DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Software Engineer for our Product Foundations team to architect and build Metropolis Web Services (MTWS), the composable, foundational services serving as the substrate for all current and future products across the company. In this role, you will solve complex distributed systems challenges at scale and build the technical foundation enabling us to expand into new markets and support new verticals from the ground up. Working alongside highly technical hypernerds who live and breathe distributed systems, performance optimization, developer productivity, and reliability engineering, you will collaborate across multiple technical teams including Application Development, Infrastructure, and our Advanced Technologies group to deliver remarkable, checkout-free real-world experiences. What you'll do Design and build the core services of Metropolis Web Services, the composable platform that will power multiple mobility businesses including IAM, notifications, message processing, and other critical infrastructure components Build and maintain our service mesh infrastructure, enabling secure, reliable, and observable communication between hundreds of microservices at scale Create sophisticated developer tooling, CI/CD pipelines, and platform automation that enables product teams to ship code safely and efficiently while maintaining high operational standards Make critical technical decisions about service boundaries, API design, data consistency patterns, and system reliability that affect the entire platform and multiple business lines Architect and optimize systems for high throughput and low latency to support millions of transactions across our global platform as we scale to new markets Establish monitoring, alerting, and reliability practices that ensure 99.99% uptime for mission-critical mobility infrastructure Drive architectural discussions, establish engineering best practices, and mentor other engineers while contributing directly to complex technical implementations What we're looking for 6+ years of backend software engineering experience with deep focus on distributed systems and platform infrastructure Demonstrate expert-level Java proficiency with deep understanding of JVM performance, concurrency, and ecosystem tooling Possess production experience with microservices architecture, container orchestration (Kubernetes), and cloud platforms (AWS) Exhibit strong systems thinking with a proven ability to design and implement large-scale, high-availability distributed systems that handle significant load Demonstrate observability expertise including hands-on production experience with metrics, logging, tracing, and alerting systems in high-load environments Utilize database and data systems knowledge including relational databases, event streaming (Kafka, SQS), caching strategies, and data consistency patterns Show experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity, specifically context engineering Maintain excellent technical communication with the ability to design and document complex systems, lead technical discussions, and collaborate across multiple teams While not required, these are a plus: Advanced degree in Computer Science, Engineering, or related technical field Possess Scala experience and security compliance expertise, particularly in authentication, authorization, secrets management, and regulatory compliance for financial transactions Demonstrate experience with high-growth environments where you have scaled systems through rapid expansion and increasing load Showcase open source contributions or technical blog writing that demonstrates depth of technical expertise in distributed systems Exhibit performance optimization experience with profiling, benchmarking, and system tuning at hyperscale Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionJob DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Software Engineer for our Product Foundations team to architect and build Metropolis Web Services (MTWS), the composable, foundational services serving as the substrate for all current and future products across the company. In this role, you will solve complex distributed systems challenges at scale and build the technical foundation enabling us to expand into new markets and support new verticals from the ground up. Working alongside highly technical hypernerds who live and breathe distributed systems, performance optimization, developer productivity, and reliability engineering, you will collaborate across multiple technical teams including Application Development, Infrastructure, and our Advanced Technologies group to deliver remarkable, checkout-free real-world experiences. What you'll do Design and build the core services of Metropolis Web Services, the composable platform that will power multiple mobility businesses including IAM, notifications, message processing, and other critical infrastructure components Build and maintain our service mesh infrastructure, enabling secure, reliable, and observable communication between hundreds of microservices at scale Create sophisticated developer tooling, CI/CD pipelines, and platform automation that enables product teams to ship code safely and efficiently while maintaining high operational standards Make critical technical decisions about service boundaries, API design, data consistency patterns, and system reliability that affect the entire platform and multiple business lines Architect and optimize systems for high throughput and low latency to support millions of transactions across our global platform as we scale to new markets Establish monitoring, alerting, and reliability practices that ensure 99.99% uptime for mission-critical mobility infrastructure Drive architectural discussions, establish engineering best practices, and mentor other engineers while contributing directly to complex technical implementations What we're looking for 6+ years of backend software engineering experience with deep focus on distributed systems and platform infrastructure Demonstrate expert-level Java proficiency with deep understanding of JVM performance, concurrency, and ecosystem tooling Possess production experience with microservices architecture, container orchestration (Kubernetes), and cloud platforms (AWS) Exhibit strong systems thinking with a proven ability to design and implement large-scale, high-availability distributed systems that handle significant load Demonstrate observability expertise including hands-on production experience with metrics, logging, tracing, and alerting systems in high-load environments Utilize database and data systems knowledge including relational databases, event streaming (Kafka, SQS), caching strategies, and data consistency patterns Show experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity, specifically context engineering Maintain excellent technical communication with the ability to design and document complex systems, lead technical discussions, and collaborate across multiple teams While not required, these are a plus: Advanced degree in Computer Science, Engineering, or related technical field Possess Scala experience and security compliance expertise, particularly in authentication, authorization, secrets management, and regulatory compliance for financial transactions Demonstrate experience with high-growth environments where you have scaled systems through rapid expansion and increasing load Showcase open source contributions or technical blog writing that demonstrates depth of technical expertise in distributed systems Exhibit performance optimization experience with profiling, benchmarking, and system tuning at hyperscale Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionJob DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Software Engineer for our Product Foundations team to architect and build Metropolis Web Services (MTWS), the composable, foundational services serving as the substrate for all current and future products across the company. In this role, you will solve complex distributed systems challenges at scale and build the technical foundation enabling us to expand into new markets and support new verticals from the ground up. Working alongside highly technical hypernerds who live and breathe distributed systems, performance optimization, developer productivity, and reliability engineering, you will collaborate across multiple technical teams including Application Development, Infrastructure, and our Advanced Technologies group to deliver remarkable, checkout-free real-world experiences. What you'll do Design and build the core services of Metropolis Web Services, the composable platform that will power multiple mobility businesses including IAM, notifications, message processing, and other critical infrastructure components Build and maintain our service mesh infrastructure, enabling secure, reliable, and observable communication between hundreds of microservices at scale Create sophisticated developer tooling, CI/CD pipelines, and platform automation that enables product teams to ship code safely and efficiently while maintaining high operational standards Make critical technical decisions about service boundaries, API design, data consistency patterns, and system reliability that affect the entire platform and multiple business lines Architect and optimize systems for high throughput and low latency to support millions of transactions across our global platform as we scale to new markets Establish monitoring, alerting, and reliability practices that ensure 99.99% uptime for mission-critical mobility infrastructure Drive architectural discussions, establish engineering best practices, and mentor other engineers while contributing directly to complex technical implementations What we're looking for 6+ years of backend software engineering experience with deep focus on distributed systems and platform infrastructure Demonstrate expert-level Java proficiency with deep understanding of JVM performance, concurrency, and ecosystem tooling Possess production experience with microservices architecture, container orchestration (Kubernetes), and cloud platforms (AWS) Exhibit strong systems thinking with a proven ability to design and implement large-scale, high-availability distributed systems that handle significant load Demonstrate observability expertise including hands-on production experience with metrics, logging, tracing, and alerting systems in high-load environments Utilize database and data systems knowledge including relational databases, event streaming (Kafka, SQS), caching strategies, and data consistency patterns Show experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity, specifically context engineering Maintain excellent technical communication with the ability to design and document complex systems, lead technical discussions, and collaborate across multiple teams While not required, these are a plus: Advanced degree in Computer Science, Engineering, or related technical field Possess Scala experience and security compliance expertise, particularly in authentication, authorization, secrets management, and regulatory compliance for financial transactions Demonstrate experience with high-growth environments where you have scaled systems through rapid expansion and increasing load Showcase open source contributions or technical blog writing that demonstrates depth of technical expertise in distributed systems Exhibit performance optimization experience with profiling, benchmarking, and system tuning at hyperscale Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionJob Description About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic. Your role As a core technical leader within our Agentic AI initiatives, you will shape the vision, architecture, and execution of Dialpad's next-generation AI platform, moving the industry beyond passive copilots into autonomous workflow execution. Working closely with Product, Applied Research, Design, and executive leadership, you will build production-grade systems where AI agents reason, act, coordinate, and safely execute workflows. You will help pioneer an advanced multi-agent orchestration framework capable of real-time conversational reasoning and tool execution over massive enterprise datasets while fostering an AI-native engineering culture. This position reports directly to our Senior Director of Engineering and has the opportunity to be based in our Bay Area office. What you'll do Drive Technical Strategy: Own the architectural roadmap and delivery of Dialpad's Agentic infrastructure, core orchestration layers, memory architectures, and evaluation/observability systems. Build & Scale: Design and deploy scalable, multi-modal AI agents capable of autonomous support, real-time voice reasoning, and secure API tool execution across complex enterprise workflows. Mentor & Influence: Act as a technical anchor for the organization, raising the engineering bar, mentoring senior peers, and defining technical standards for an AI-native SDLC. Partner Cross-Functionally: Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with Dialpad's long-term business strategy. Push the Frontier: Research and implement emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and cutting-edge safety/policy guardrails to keep Dialpad at the absolute forefront of the "era of the agent." Skills you'll bring Experience: 10+ years of relevant software engineering experience, with a proven track record of technical leadership (as a Staff, Senior Staff, or Principal Engineer) shipping complex, large-scale systems. Systems Background: Strong foundations in scaling distributed systems and production-grade infrastructure before evolving into applied AI, LLM platforms, and agentic architectures. Leadership: Ability to lead and grow a small group of engineers. LLM Platforms: Inference optimization and fine-tuning strategies. Data & Retrieval: Advanced retrieval systems and memory architectures. Agent Frameworks: Hands-on experience with frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems. AI Ops: Evaluation, observability, and safety frameworks for production AI systems. Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI. Tool Integration: Tool use, API execution frameworks, and human-in-the-loop validation systems. Operational Excellence: Experience setting clear technical goals, identifying architectural risks, and systematically clearing tech-debt gaps. The 0 1 Archetype: Ability to thrive in ambiguity, build cutting-edge AI products from the ground up, and scale them into robust, self-sustaining enterprise systems. For exceptional talent based in California, the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. California Salary Range $176,000-$209,000 USD Why Join Dialpad Work at the center of the AI transformation in business communications Build and ship agentic AI products that are redefining how companies operate Join a team where AI amplifies every employee's impact Competitive salary, comprehensive benefits, and real opportunities for growth We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success. Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

Now Brewing - Software Engineer! From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As an Engineer, you'll help deliver high-quality, reliable, and stable technologies and security capabilities that enable teams to build, release, and operate software with confidence. You'll support critical engineering capabilities through installation, configuration, monitoring, analysis, maintenance, and technical support-while modeling Starbucks guiding principles. As an Engineer, you will Enable fast, reliable delivery by supporting development teams, resolving developer issues, and engineering build and release processes. Strengthen reliability and observability by implementing service monitoring, deep telemetry, and high-availability operational support-automating solutions across the environment. Build secure and compliant foundations by implementing technologies aligned to information security principles, maintaining secure configurations/baselines, and upholding applicable policies and regulatory requirements. We'd love to hear from people with: 0-4 years of professional industry experience with software development Bachelor's degree in Computer Science or related field Preferred qualifications Systems & production operations : 1+ years in systems/network administration or systems engineering, plus hands-on production support (monitoring/telemetry, troubleshooting, incident response; 24x7/on-call a plus ). Automation & coding: 1+ years coding/scripting for automation in Python, Java, Go, or C/C++ (Ruby/Perl also welcome) with strong debugging skills. Cloud & delivery tooling: experience with AWS/Azure and exposure to CI/CD or build/release tooling and automation. Core technical foundations: working knowledge of distributed systems, TCP/IP networking (DNS/routing), and databases/data stores (SQL/NoSQL). As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire , sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to . If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We believe we do our best work when we're together, which is why we're onsite four days a week. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at or .

Job DescriptionJob Description: About provides the leading cloud platform for smart security and IoT, powering millions of home and business experiences. Our systems integrate devices, cloud services, APIs, and event-driven workflows into a unified ecosystem used by internal teams and external partners around the world. About the Team This role sits at the intersection of two strategically important areas of 's engineering organization: Strategic Partner eXcellence (SPX) Device Platform. SPX establishes the partner enablement function for 's highest-value PaaS integrations. The team architects and maintains the Core Partner Platform - shared edge services, event pipelines, authentication infrastructure, and integration patterns - that allow strategic partners to build reliably on top of 's stack. Device Platform builds and evolves the foundational shared capabilities that underpin 's connected device ecosystem. This spans the full arc of how devices are modeled, integrated, and managed on the platform - from the APIs and event pipelines that expose device state and commands, to the lifecycle management flows that govern how devices are provisioned and maintained, to the transport and protocol infrastructure that connects physical devices to the platform at scale. These two areas are deeply connected. The partner-facing platform depends on the device platform being reliable, well-bounded, and evolvable. An SE II in this space contributes meaningfully to both - building and maintaining the platform capabilities that teams and partners depend on, and growing their technical ownership over time. The team is led by an Engineering Manager and supported by a senior Architect. The SE II hired into this role will work in close partnership with senior engineers and the broader team, taking on increasing ownership of technical work within a well-supported structure. The Role We are hiring a Software Engineer II to contribute to the SPX and Device Platform domains as a capable, independent individual contributor. At , the SE II carries a clear mandate: independently complete technical tasks with good quality, take meaningful ownership of their work, and grow steadily toward leading small projects end-to-end. This is a hands-on engineering role. The SE II writes production code, participates in design and code reviews, contributes to project delivery, and develops the technical and process fluency needed to operate with increasing autonomy. Projects span device APIs, event pipelines, device lifecycle management, and partner-facing platform capabilities. The SE II is expected to complete assigned work with high-level direction, seek out the information they need to succeed, and communicate proactively about progress and blockers. Success in this role requires solid programming fundamentals, growing familiarity with 's architecture and processes, and the professional communication skills to collaborate effectively across engineering, QE, PM, and operations. This is a growth role - the right person will be on a clear trajectory toward Senior SE, demonstrating increasing independence, ownership, and technical judgment over time. What You'll Do Technical Delivery & Code Quality Write and maintain high-quality backend code across the SPX and Device Platform domains, including device state and command APIs, event pipelines, device lifecycle management flows, and partner-facing integration components. Complete assigned tasks and features independently with high-level direction, seeking out information and context as needed to deliver good outcomes. Participate actively in code reviews - both receiving feedback and providing thoughtful, constructive review on peers' work. Ensure the code you write is correct, well-tested, and maintainable - treating documentation and testing as first-class engineering concerns, not afterthoughts. Debug and troubleshoot issues across environments, applying systematic reasoning to identify root causes and deliver durable fixes. Project Ownership & Delivery Take meaningful ownership of your work across the full development cycle - from design through implementation, testing, and release. Lead small, single-engineer projects or well-scoped workstreams with minimal guidance, including producing design documents, managing day-to-day tasks, and communicating project status and milestones clearly. Contribute meaningfully to moderately complex, multi-engineer projects - understanding your scope, executing reliably, and raising blockers early. Communicate proactively about progress, risks, and estimates - avoiding surprises for your team and manager. Technical Growth & Collaboration Develop working knowledge of 's architecture, codebase, and the systems owned by SPX and Device Platform - understanding which teams own which components and how they interact. Build familiarity with 's development processes - spec/design, build, QE, ops - and understand how engineering, QE, PM, and PgM work together to deliver software. Assist with onboarding of more junior engineers, answering specific technical and process questions about projects you have worked on. Participate in design discussions and contribute technically sound ideas within your area of expertise. Operational Awareness Write code that is observable and supportable - with appropriate logging, error handling, and consideration for how issues will be diagnosed in production. Participate in incident response and postmortem processes, contributing to the team's understanding of what went wrong and how to prevent recurrence. Apply production readiness standards consistently in your work. AI-Fluent Engineering Use AI-assisted development tools as a consistent part of your engineering workflow - for drafting, debugging, refactoring, test generation, and documentation - while maintaining full review discipline over AI-generated output. Validate AI-generated code rigorously before it reaches production: review for correctness, edge cases, security implications, and long-term maintainability. Treat AI tools as a productivity multiplier that enhances - rather than replaces - your engineering judgment, and grow your fluency over time. What We're Looking For What Good Looks Like at This Level An SE is a capable, independent individual contributor whose work is reliable, well-crafted, and delivered with ownership. The clearest signal is consistent, high-quality delivery: an SE II completes assigned work with minimal hand-holding, communicates proactively, and demonstrates growing technical judgment within their scope. Required Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 2-3 years of backend software engineering experience, with a demonstrated track record of independent task completion and growing project ownership. Solid programming fundamentals: ability to independently complete a variety of backend engineering tasks with good quality, debug effectively, and write maintainable code. Working knowledge of backend platform concepts: RESTful APIs, basic distributed systems patterns, and event-driven or asynchronous processing. Demonstrated ability to take ownership of assigned work end-to-end - from design through delivery - with proactive communication about progress and blockers. Familiarity with software development processes: design/spec, implementation, code review, testing, and release. Clear, positive buy-in toward AI-assisted development as an expected part of modern engineering work. Practical familiarity with AI-assisted development workflows - including the ability to use AI effectively for implementation, debugging, and documentation while maintaining validation rigor. Preferred Qualifications Experience with .NET/C# and SQL Server; this is the foundation of 's backend stack, though equivalent depth in similar ecosystems may translate well. Exposure to event-driven architectures, message queues, or streaming systems. Experience contributing to partner-facing APIs, integration-heavy backend systems, or shared platform components. Familiarity with device-oriented systems, IoT platforms, or integration-heavy backend architectures. Experience with observability basics - logging, error handling, and monitoring - in production backend systems. Experience using AI-assisted development tools in a structured, disciplined workflow. Why This Role Matters is at a critical inflection point in its platform evolution. The shift toward PaaS partnerships, domain-aligned architecture, and a modernized device ecosystem requires engineers who can deliver high-quality work reliably, grow their technical ownership steadily, and contribute to a team that is building the foundations that dozens of teams depend on.The SE II hired into this role will contribute to how device data flows across the platform, how devices are integrated and managed at scale, and how partners connect reliably to 's infrastructure. The right person will be a dependable, growing contributor - someone whose work is trusted, whose code is well-crafted, and who is on a clear path toward taking on more. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. WHY WORK FOR Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers click apply for full job details

Job DescriptionJob Description: About provides the leading cloud platform for smart security and IoT, powering millions of home and business experiences. Our systems integrate devices, cloud services, APIs, and event-driven workflows into a unified ecosystem used by internal teams and external partners around the world. About the Team This role sits at the intersection of two strategically important areas of 's engineering organization: Strategic Partner eXcellence (SPX) Device Platform. SPX establishes the partner enablement function for 's highest-value PaaS integrations. The team architects and maintains the Core Partner Platform - shared edge services, event pipelines, authentication infrastructure, and integration patterns - that allow strategic partners to build reliably on top of 's stack. Device Platform builds and evolves the foundational shared capabilities that underpin 's connected device ecosystem. This spans the full arc of how devices are modeled, integrated, and managed on the platform - from the APIs and event pipelines that expose device state and commands, to the lifecycle management flows that govern how devices are provisioned and maintained, to the transport and protocol infrastructure that connects physical devices to the platform at scale. These two areas are deeply connected. The partner-facing platform depends on the device platform being reliable, well-bounded, and evolvable. An SE II in this space contributes meaningfully to both - building and maintaining the platform capabilities that teams and partners depend on, and growing their technical ownership over time. The team is led by an Engineering Manager and supported by a senior Architect. The SE II hired into this role will work in close partnership with senior engineers and the broader team, taking on increasing ownership of technical work within a well-supported structure. The Role We are hiring a Software Engineer II to contribute to the SPX and Device Platform domains as a capable, independent individual contributor. At , the SE II carries a clear mandate: independently complete technical tasks with good quality, take meaningful ownership of their work, and grow steadily toward leading small projects end-to-end. This is a hands-on engineering role. The SE II writes production code, participates in design and code reviews, contributes to project delivery, and develops the technical and process fluency needed to operate with increasing autonomy. Projects span device APIs, event pipelines, device lifecycle management, and partner-facing platform capabilities. The SE II is expected to complete assigned work with high-level direction, seek out the information they need to succeed, and communicate proactively about progress and blockers. Success in this role requires solid programming fundamentals, growing familiarity with 's architecture and processes, and the professional communication skills to collaborate effectively across engineering, QE, PM, and operations. This is a growth role - the right person will be on a clear trajectory toward Senior SE, demonstrating increasing independence, ownership, and technical judgment over time. What You'll Do Technical Delivery & Code Quality Write and maintain high-quality backend code across the SPX and Device Platform domains, including device state and command APIs, event pipelines, device lifecycle management flows, and partner-facing integration components. Complete assigned tasks and features independently with high-level direction, seeking out information and context as needed to deliver good outcomes. Participate actively in code reviews - both receiving feedback and providing thoughtful, constructive review on peers' work. Ensure the code you write is correct, well-tested, and maintainable - treating documentation and testing as first-class engineering concerns, not afterthoughts. Debug and troubleshoot issues across environments, applying systematic reasoning to identify root causes and deliver durable fixes. Project Ownership & Delivery Take meaningful ownership of your work across the full development cycle - from design through implementation, testing, and release. Lead small, single-engineer projects or well-scoped workstreams with minimal guidance, including producing design documents, managing day-to-day tasks, and communicating project status and milestones clearly. Contribute meaningfully to moderately complex, multi-engineer projects - understanding your scope, executing reliably, and raising blockers early. Communicate proactively about progress, risks, and estimates - avoiding surprises for your team and manager. Technical Growth & Collaboration Develop working knowledge of 's architecture, codebase, and the systems owned by SPX and Device Platform - understanding which teams own which components and how they interact. Build familiarity with 's development processes - spec/design, build, QE, ops - and understand how engineering, QE, PM, and PgM work together to deliver software. Assist with onboarding of more junior engineers, answering specific technical and process questions about projects you have worked on. Participate in design discussions and contribute technically sound ideas within your area of expertise. Operational Awareness Write code that is observable and supportable - with appropriate logging, error handling, and consideration for how issues will be diagnosed in production. Participate in incident response and postmortem processes, contributing to the team's understanding of what went wrong and how to prevent recurrence. Apply production readiness standards consistently in your work. AI-Fluent Engineering Use AI-assisted development tools as a consistent part of your engineering workflow - for drafting, debugging, refactoring, test generation, and documentation - while maintaining full review discipline over AI-generated output. Validate AI-generated code rigorously before it reaches production: review for correctness, edge cases, security implications, and long-term maintainability. Treat AI tools as a productivity multiplier that enhances - rather than replaces - your engineering judgment, and grow your fluency over time. What We're Looking For What Good Looks Like at This Level An SE is a capable, independent individual contributor whose work is reliable, well-crafted, and delivered with ownership. The clearest signal is consistent, high-quality delivery: an SE II completes assigned work with minimal hand-holding, communicates proactively, and demonstrates growing technical judgment within their scope. Required Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 2-3 years of backend software engineering experience, with a demonstrated track record of independent task completion and growing project ownership. Solid programming fundamentals: ability to independently complete a variety of backend engineering tasks with good quality, debug effectively, and write maintainable code. Working knowledge of backend platform concepts: RESTful APIs, basic distributed systems patterns, and event-driven or asynchronous processing. Demonstrated ability to take ownership of assigned work end-to-end - from design through delivery - with proactive communication about progress and blockers. Familiarity with software development processes: design/spec, implementation, code review, testing, and release. Clear, positive buy-in toward AI-assisted development as an expected part of modern engineering work. Practical familiarity with AI-assisted development workflows - including the ability to use AI effectively for implementation, debugging, and documentation while maintaining validation rigor. Preferred Qualifications Experience with .NET/C# and SQL Server; this is the foundation of 's backend stack, though equivalent depth in similar ecosystems may translate well. Exposure to event-driven architectures, message queues, or streaming systems. Experience contributing to partner-facing APIs, integration-heavy backend systems, or shared platform components. Familiarity with device-oriented systems, IoT platforms, or integration-heavy backend architectures. Experience with observability basics - logging, error handling, and monitoring - in production backend systems. Experience using AI-assisted development tools in a structured, disciplined workflow. Why This Role Matters is at a critical inflection point in its platform evolution. The shift toward PaaS partnerships, domain-aligned architecture, and a modernized device ecosystem requires engineers who can deliver high-quality work reliably, grow their technical ownership steadily, and contribute to a team that is building the foundations that dozens of teams depend on.The SE II hired into this role will contribute to how device data flows across the platform, how devices are integrated and managed at scale, and how partners connect reliably to 's infrastructure. The right person will be a dependable, growing contributor - someone whose work is trusted, whose code is well-crafted, and who is on a clear path toward taking on more. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. WHY WORK FOR Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers click apply for full job details

Job DescriptionJob Description: About provides the leading cloud platform for smart security and IoT, powering millions of home and business experiences. Our systems integrate devices, cloud services, APIs, and event-driven workflows into a unified ecosystem used by internal teams and external partners around the world. About the Team This role sits at the intersection of two strategically important areas of 's engineering organization: Strategic Partner eXcellence (SPX) Device Platform. SPX establishes the partner enablement function for 's highest-value PaaS integrations. The team architects and maintains the Core Partner Platform - shared edge services, event pipelines, authentication infrastructure, and integration patterns - that allow strategic partners to build reliably on top of 's stack. Device Platform builds and evolves the foundational shared capabilities that underpin 's connected device ecosystem. This spans the full arc of how devices are modeled, integrated, and managed on the platform - from the APIs and event pipelines that expose device state and commands, to the lifecycle management flows that govern how devices are provisioned and maintained, to the transport and protocol infrastructure that connects physical devices to the platform at scale. These two areas are deeply connected. The partner-facing platform depends on the device platform being reliable, well-bounded, and evolvable. An SE II in this space contributes meaningfully to both - building and maintaining the platform capabilities that teams and partners depend on, and growing their technical ownership over time. The team is led by an Engineering Manager and supported by a senior Architect. The SE II hired into this role will work in close partnership with senior engineers and the broader team, taking on increasing ownership of technical work within a well-supported structure. The Role We are hiring a Software Engineer II to contribute to the SPX and Device Platform domains as a capable, independent individual contributor. At , the SE II carries a clear mandate: independently complete technical tasks with good quality, take meaningful ownership of their work, and grow steadily toward leading small projects end-to-end. This is a hands-on engineering role. The SE II writes production code, participates in design and code reviews, contributes to project delivery, and develops the technical and process fluency needed to operate with increasing autonomy. Projects span device APIs, event pipelines, device lifecycle management, and partner-facing platform capabilities. The SE II is expected to complete assigned work with high-level direction, seek out the information they need to succeed, and communicate proactively about progress and blockers. Success in this role requires solid programming fundamentals, growing familiarity with 's architecture and processes, and the professional communication skills to collaborate effectively across engineering, QE, PM, and operations. This is a growth role - the right person will be on a clear trajectory toward Senior SE, demonstrating increasing independence, ownership, and technical judgment over time. What You'll Do Technical Delivery & Code Quality Write and maintain high-quality backend code across the SPX and Device Platform domains, including device state and command APIs, event pipelines, device lifecycle management flows, and partner-facing integration components. Complete assigned tasks and features independently with high-level direction, seeking out information and context as needed to deliver good outcomes. Participate actively in code reviews - both receiving feedback and providing thoughtful, constructive review on peers' work. Ensure the code you write is correct, well-tested, and maintainable - treating documentation and testing as first-class engineering concerns, not afterthoughts. Debug and troubleshoot issues across environments, applying systematic reasoning to identify root causes and deliver durable fixes. Project Ownership & Delivery Take meaningful ownership of your work across the full development cycle - from design through implementation, testing, and release. Lead small, single-engineer projects or well-scoped workstreams with minimal guidance, including producing design documents, managing day-to-day tasks, and communicating project status and milestones clearly. Contribute meaningfully to moderately complex, multi-engineer projects - understanding your scope, executing reliably, and raising blockers early. Communicate proactively about progress, risks, and estimates - avoiding surprises for your team and manager. Technical Growth & Collaboration Develop working knowledge of 's architecture, codebase, and the systems owned by SPX and Device Platform - understanding which teams own which components and how they interact. Build familiarity with 's development processes - spec/design, build, QE, ops - and understand how engineering, QE, PM, and PgM work together to deliver software. Assist with onboarding of more junior engineers, answering specific technical and process questions about projects you have worked on. Participate in design discussions and contribute technically sound ideas within your area of expertise. Operational Awareness Write code that is observable and supportable - with appropriate logging, error handling, and consideration for how issues will be diagnosed in production. Participate in incident response and postmortem processes, contributing to the team's understanding of what went wrong and how to prevent recurrence. Apply production readiness standards consistently in your work. AI-Fluent Engineering Use AI-assisted development tools as a consistent part of your engineering workflow - for drafting, debugging, refactoring, test generation, and documentation - while maintaining full review discipline over AI-generated output. Validate AI-generated code rigorously before it reaches production: review for correctness, edge cases, security implications, and long-term maintainability. Treat AI tools as a productivity multiplier that enhances - rather than replaces - your engineering judgment, and grow your fluency over time. What We're Looking For What Good Looks Like at This Level An SE is a capable, independent individual contributor whose work is reliable, well-crafted, and delivered with ownership. The clearest signal is consistent, high-quality delivery: an SE II completes assigned work with minimal hand-holding, communicates proactively, and demonstrates growing technical judgment within their scope. Required Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 2-3 years of backend software engineering experience, with a demonstrated track record of independent task completion and growing project ownership. Solid programming fundamentals: ability to independently complete a variety of backend engineering tasks with good quality, debug effectively, and write maintainable code. Working knowledge of backend platform concepts: RESTful APIs, basic distributed systems patterns, and event-driven or asynchronous processing. Demonstrated ability to take ownership of assigned work end-to-end - from design through delivery - with proactive communication about progress and blockers. Familiarity with software development processes: design/spec, implementation, code review, testing, and release. Clear, positive buy-in toward AI-assisted development as an expected part of modern engineering work. Practical familiarity with AI-assisted development workflows - including the ability to use AI effectively for implementation, debugging, and documentation while maintaining validation rigor. Preferred Qualifications Experience with .NET/C# and SQL Server; this is the foundation of 's backend stack, though equivalent depth in similar ecosystems may translate well. Exposure to event-driven architectures, message queues, or streaming systems. Experience contributing to partner-facing APIs, integration-heavy backend systems, or shared platform components. Familiarity with device-oriented systems, IoT platforms, or integration-heavy backend architectures. Experience with observability basics - logging, error handling, and monitoring - in production backend systems. Experience using AI-assisted development tools in a structured, disciplined workflow. Why This Role Matters is at a critical inflection point in its platform evolution. The shift toward PaaS partnerships, domain-aligned architecture, and a modernized device ecosystem requires engineers who can deliver high-quality work reliably, grow their technical ownership steadily, and contribute to a team that is building the foundations that dozens of teams depend on.The SE II hired into this role will contribute to how device data flows across the platform, how devices are integrated and managed at scale, and how partners connect reliably to 's infrastructure. The right person will be a dependable, growing contributor - someone whose work is trusted, whose code is well-crafted, and who is on a clear path toward taking on more. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. WHY WORK FOR Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers click apply for full job details

Senior AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

NOW HIRING: BUSINESS DEVELOPMENT MANAGER Full-Time Position A well-established heavy civil contractor is seeking an experienced Business Development Manager to drive market expansion, strengthen client relationships, and support revenue growth across engineering and construction markets. This role is responsible for executing business development strategy, managing client engagement, building a strong sales pipeline, and supporting pursuit efforts that position the organization to win complex infrastructure and foundation projects. This position is ideal for a relationship-driven professional who understands the heavy civil and specialty foundations industry and enjoys working at the intersection of strategy, operations, and client development. Why Join Us Strong Financial Position The company is privately owned (no longer publicly traded), allowing long-term investment decisions without stock market pressure. Record Performance The U.S. subsidiary had its best financial year in company history last year. Clear Growth Plan Revenue growth from approximately $100M to $120M, with a strategic goal of reaching approximately $250M within 3-5 years. Structured Business Units The company has reorganized into four focused business units: Southeast, Texas, Ground Improvement, and Major Projects. Expansion & Investment Actively investing in new locations, new equipment, and hiring as part of the growth strategy. Young Equipment Fleet Average equipment age is less than three years. Equipment Manufacturer Advantage The company manufactures its own equipment, allowing modification and adaptation for specific project needs. Global Technical Network Access to worldwide technical experts and collaboration across international subsidiaries. Growth Creating Opportunity As the company expands geographically and vertically, additional leadership and career opportunities are expected to open. Supervisory Responsibilities None What You'll Do (Essential Duties & Responsibilities) Engage with clients, vendors, partners, and third-party engineers to establish a sales pipeline and achieve capture goals within an assigned region Engage clients at industry relevant conferences and work with management and marketing to ensure messaging, attendance, and investment efficiently drive growth Develop and use contacts and relationships within the industry, business environment, and customer base to understand and respond to competition, pricing, and product demand changes Provide direction and coaching to operations and estimating to develop collateral content, presentations, proposals, videos, social media content, and advertising to drive growth for the various businesses within assigned markets Make suggestions for new product offerings or improvements to sales or marketing efforts Administer or negotiate new business proposals and prepare contracts, as required During bidding, provide input to establish pursuit strategies, articulate value propositions, and properly prepare proposals through storyboarding and review of sales messaging and materials During the annual business planning process, prepare account plans for the territory that incorporate overall, accessible, and attainable market objectives with anticipated forecasting of revenues from assigned clients Monitor and analyze competition regionally and provide real-time input to business leaders on noteworthy shifts that may represent threats or opportunities Actively engage in regular business development meetings and weekly progress calls What You Bring (Qualifications & Requirements) Bachelor's Degree in Civil Engineering, Construction Management, or similar field Minimum 5 years' experience in the engineering and construction industry, particularly in heavy civil and special foundations Ability to work closely with project teams and stakeholders Extensive knowledge of industry practices and standards Strong analytical skills Excellent communication skills Strong attention to detail Ability to read, understand, and organize construction plans and specifications Strong organizational and problem-solving skills Ability to work independently with minimal structure while exercising sound judgment Strong ability to multitask, prioritize, and work under pressure to meet deadlines Advanced knowledge of Microsoft Office (Excel, Access, Project, PowerPoint, Word, Outlook) How to Apply Interested in learning more? Email your resume to For a confidential conversation, contact Taylor Maurer, Senior Managing Partner, at .

TerraFirma Job Post At TerraFirma, we're redefining how the world moves earth for construction. Founded by former SpaceX engineers and backed by Kleiner Perkins and Bain Capital Ventures, TerraFirma is automating construction to make it faster, cheaper, and safer. Our Story & Mission At SpaceX, we were part of the teams that built the largest rocket in human history, launched the largest constellation of satellites ever made, and delivered connectivity to millions of people worldwide. What we learned was simple: infrastructure is everything. At Starbase, the biggest barrier to launching missions to Mars was not building the rocket. It was how slow, expensive, and complex it was to build the infrastructure around it. We lacked buildings, roads, water, power, communications, and waste management, and constructing them took far more time and resources than it should have. From a first-principles perspective, that doesn't make sense. It shouldn't be this hard or costly to create the foundations for progress. That's when we realized something important: the same engineering mindset that enabled us to tackle space exploration and mass manufacturing could be applied to infrastructure. By bringing the principles of simplification, iteration, acceleration, and automation to construction, we can unlock a new era in how the world builds. Accelerating infrastructure unlocks progress across every domain, creating a self-sustaining engine for tackling humanity's toughest challenges. The innovations we develop on Earth will lay the groundwork for the technologies that one day make settlement on Mars possible. Job Overview In this role, you will drive TerraFirma's efforts in forging strategic alliances and securing new business opportunities. This role focuses on building relationships with developers, contractors, and other major players in the earthmoving industry while driving the sales pipeline for site prep and excavation projects. Responsibilities Develop and maintain strategic partnerships with major developers, general contractors, corporates, and other major players in the earthmoving industry Drive the development of TerraFirma's network of partners at the forefront of building out the next generation of infrastructure in the US Represent TerraFirma at industry events, conferences, and networking opportunities to promote our brand and services Lead and coordinate the preparation and submission of proposals, bids, and tenders, collaborating with estimators and project teams to ensure accurate and compelling submissions Support the development and promotion of marketing materials and case studies showcasing successful projects and partnerships Basic Qualifications 5+ years in business development, sales, or partnership management in construction, excavation, or related industries Familiarity with CRM software (e.g., Salesforce), proposal writing tools, and proven understanding of earthworks or heavy equipment operations a plus Proven experience with business development in frontier construction technology and robotics Preferred Skills & Experience Extended network in the Texas earthworks, construction, and data center industries Demonstrated success in securing contracts and building long-term partnerships, with a portfolio of at least 5 major deals in the past 3 years Excellent negotiation, communication, and presentation skills Additional Requirements Must be willing to work extended hours or weekends when needed to support critical deadlines or triage urgent deployment issues Comfortable with working in a fast-paced startup environment Must be willing to relocate to Austin, TX if not within commuting distance Compensation & Benefits Base compensation will vary based on factors such as relevant experience and education. Salaries and leveling will be determined on a case-by-case basis if an offer is extended. Our total compensation package also includes equity in TerraFirma. Relocation packages are available to help cover moving costs, if applicable.

Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI/ML Engineer (Platform, kubeflow) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).