27 Slack jobs in the United States

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the team
Slack is looking for Data Engineers to join our Admin and Trust team! We build data products that empower our large enterprise customers with metrics critical to their workflows.

In this role, you will partner cross-functionally with business stakeholders, analytics teams, and engineers to design and implement our data models. You'll design, build, and scale data pipelines that transform billions of records into actionable insights for our largest customers. You'll also work closely with backend engineers to build state-of-the-art tooling for Slack Admins.

You will contribute to initiatives that directly support key decision-makers within our enterprise customer base by scaling data models that provide essential adoption and engagement metrics.

We're looking for passionate individuals with strong technical skills who are comfortable contributing to a growing data ecosystem and can help build a solid data foundation for the company. We're also looking for self-starters-detail-oriented, quality-driven, and hardworking-who are excited about making a meaningful impact at Slack!

• Translate business requirements into scalable and reusable data models that are easy to understand and used by different subject areas

• Design, implement and build data models and pipelines that deliver data with measurable quality under the SLA

• Partner with product teams, data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy

• Be a champion of the overall strategy for data across multiple teams and different use cases

• Increase access to foundational company metrics through process and technical foundations

• Identify, document and promote data engineering standard methodologies throughout Slack

• 5+ years of experience working in data architecture, data modeling, master data management, metadata management

• Recent accomplishments working with relational methods and approaches (logging, columnar, star and snowflake, dimensional modeling)

• A consistent track record in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in OLAP and Data Warehouse environments

• Airflow or any workflow management platform for data engineering pipelines orchestration.

• Proficiency in coding through the use of with Python and SQL

• Familiar with data governance frameworks, SDLC, and Agile methodology

• Excellent written and verbal communication and interpersonal skills, and ability to efficiently collaborate with technical and business partners

• Bachelor's degree in Computer Science, Engineering or a related field, equivalent training, fellowship, or work experience

• Hands-on experience with Spark SQL, AWS (S3, EMR), Apache Pinot, Big Data & Hadoop.

• Proficient in coding through the use of Scala

• Experience working with cloud technologies such as AWS, GCP or Azure.

• Understanding of NoSQL Data Stores

• Experience around Batch & Real-time processing

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best , and our AI agents accelerate your impact so you cando your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

As a full stack engineer you'll use your extensive knowledge to build our outstanding Slack and Salesforce Integration. You'll work in both the Salesforce and Slack side. Bringing to bear Salesforce development experience to embed the Slack experience within Lightning as well as building out new capabilities in the Slack web client, a sophisticated in-browser application relied upon by millions of users every day! You will work with real-time data streams, engineer for performance across browsers, and delight people by making the best software we can imagine. You will collaborate closely with Product, Design, Application Engineering, and QA to spec, conceptualize, build, test and deploy new features for our large (and growing!) user base.

We're currently hiring different levels of Full Stack Engineers based in Raleigh, NC to expand the UISF/Foyer team owning the Slack and Salesforce Integration.

• You'll brainstorm with Product Managers and Designers to conceptualize new features.

• You'll collaborate with Application Engineering to build new features for our large-and-growing user base.

• You'll learn about new web technologies and discuss potential solutions to problems.

• You'll help our skilled support team triage bugs and take on production issues.

• You'll mentor other engineers and deeply review code.

• Experience with Lightning Component Framework

• 4+ years of experience writing client-side JavaScript and React Framework

• Expertise in building complex layouts with CSS and HTML.

• Experience building and debugging complex systems in a team environment.

• Experience with modern browser technologies.

• Strong UX and design sensibilities, and a desire to sweat the small stuff.

• Strong communication skills, a positive attitude, and empathy.

• Self-awareness and an affinity towards continuously improving.

• Experience with Typescript.

• Experience with WebRTC.

• Experience investigating and improving JavaScript performance.

• Experience with WebSockets, Local Storage, or ES6.

• Experience in small startup environments.

• Experience designing web sites or applications.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best , and our AI agents accelerate your impact so you cando your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About Salesforce
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

ABOUT SLACK
Slack is your Digital HQ - a place where work flows between your people, systems, partners, and customers. From Fortune 100 companies to corner markets, millions of people around the world use Slack to connect their teams, unify their systems, and drive their business forward.

Slack breaks down communication silos inside and beyond your organization by bringing teams and tools together around common goals, projects and processes in channels and in Slack Connect. It removes the limits of physical walls, giving people the flexibility to do their best work where, when and how they prefer with features like huddles and clips. And it empowers everyone to automate common tasks with apps and workflows. In this digital-first era, Slack's mission is to make people's work lives simpler, more pleasant, and more productive.
A taste of our scale and reach:

• 77% of the fortune 100 use Slack

• 150+ countries have daily active users in Slack

• Slack delivers 300k+ messages per second

• To date, 1.79 trillion messages have been sent on Slack

• 2.65 Billion actions are taken in Slack each day

• Slack has 200k+ paid customers

ABOUT THE TEAM
We're looking for people who are passionate about crafting a phenomenal web experience and designing robust, scalable, and secure backend systems for web applications.

As a Full Stack Staff Engineer (front end leaning) on the team, you will play a pivotal role in shaping technical direction, mentoring engineers, and ensuring the delivery of high-quality solutions that meet evolving business needs. You'll use your extensive knowledge of web development concepts and problem solving skills to deliver robust solutions. You will collaborate closely with Web Strategists and cross functionally to spec, conceptualize, build, test and deploy features and solutions that drive revenue on slack.com. This role should be a strong frontend engineer with backend proficiency.

What you should have

• 7+ years of experience in front end development with proficiency in HHVM/PHP.

• Deep expertise in frontend development best practices, design systems, conventions, and reusability.

• Proficient in HTML, CSS, JS, React, Redux, and Typescript.

• Proficient in WordPress or other Content Management Systems.

• Hands-on experience with Vitess and MySQL and backend interaction.

• Hands-on experience with API design and development.

• Experience building and debugging complex systems in a team environment.

• Experience with modern browser technologies.

• Experience with AB testing.

• Strong UX and design sensibilities, and a desire to sweat the small stuff.

• Strong communication skills, a positive attitude, and empathy.

• Self-awareness and a desire to continually improve.

• A related technical degree required.

Bonus Points

• Experience with Hack and XHP.

• Experience with web analytics, SEO, and data-driven optimization.

• Experience working with and maintaining design systems.

• Experience with AWS.

• Experience designing web sites or applications.

Slack has a positive, diverse, and supportive culture-we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best , and our AI agents accelerate your impact so you cando your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Senior Manager, Software Engineering, Slack (People Leader)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking a Senior Manager of Software Engineering who is passionate about marrying data with emerging technologies. As a Capital One Senior Manager Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You'll Do:

• Lead a portfolio of diverse technology projects and a team of developers and platform engineers with deep experience in collaboration platforms and full stack systems to create solutions that enable communication and productivity for tens of thousands of users.

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:

• Bachelor's Degree

• At least 6 years of experience in software engineering (Internship experience does not apply)

• At least 2 years experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• At least 4 years of people management experience

Preferred Qualifications:

• Master's Degree

• 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 4+ years of experience in open source frameworks

• 7+ years of people management experience

• 2+ years supporting a production platform, like Slack, Teams, or Gsuite with administration and automation

• 2+ years of experience in Agile practices

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.

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.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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 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 Manager, Software Engineering, Slack (People Leader)

Job Description

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking a Senior Manager of Software Engineering who is passionate about marrying data with emerging technologies. As a Capital One Senior Manager Software Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What Youll Do:

• Lead a portfolio of diverse technology projects and a team of developers and platform engineers with deep experience in collaboration platforms and full stack systems to create solutions that enable communication and productivity for tens of thousands of users.
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like JavaScript, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:

• Bachelors Degree
• At least 6 years of experience in software engineering (Internship experience does not apply)
• At least 2 years experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• At least 4 years of people management experience

Preferred Qualifications:

• Masters Degree
• 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
• 4+ years of experience in open source frameworks
• 7+ years of people management experience
• 2+ years supporting a production platform, like Slack, Teams, or Gsuite with administration and automation
• 2+ years of experience in Agile practices

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.

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 candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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 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).

Job Description

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking a Senior Manager of Software Engineering who is passionate about marrying data with emerging technologies. As a Capital One Senior Manager Software Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What Youll Do:

• Lead a portfolio of diverse technology projects and a team of developers and platform engineers with deep experience in collaboration platforms and full stack systems to create solutions that enable communication and productivity for tens of thousands of users.
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like JavaScript, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:

• Bachelors Degree
• At least 6 years of experience in software engineering (Internship experience does not apply)
• At least 2 years experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• At least 4 years of people management experience

Preferred Qualifications:

• Masters Degree
• 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
• 4+ years of experience in open source frameworks
• 7+ years of people management experience
• 2+ years supporting a production platform, like Slack, Teams, or Gsuite with administration and automation
• 2+ years of experience in Agile practices

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.

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 candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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 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).

Are you a leader passionate about driving innovation in technology? Do you thrive on solving complex business challenges in dynamic, collaborative environments? At Capital One, you'll join a vibrant community of creators and innovators who are dedicated to making a real impact on customer needs. We are looking for a Senior Software Engineering Manager who is excited about integrating data with cutting-edge technologies. This is your chance to lead a significant transformation within Capital One.

What You'll Do:

• Oversee a diverse portfolio of technology projects while managing a team of developers and platform engineers who specialize in collaboration platforms and full-stack systems, crafting solutions that enhance communication and productivity for thousands of users.

• Stay ahead of technology trends, explore and learn new tech, engage with internal and external tech communities, mentor engineering team members, and occasionally contribute by coding or reviewing code.

• Work closely with digital product managers to deliver robust cloud-based solutions that empower millions of Americans to achieve financial success.

• Leverage programming skills in languages such as JavaScript, TypeScript, SQL, Python, and Go, along with experience in Open Source RDBMS, NoSQL databases, Container Orchestration services like Docker and Kubernetes, and various AWS tools and services.

Basic Qualifications:

• Bachelor's Degree

• A minimum of 6 years of software engineering experience (internship experience not included)

• At least 2 years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• Minimum of 4 years in a people management role.

Preferred Qualifications:

• Master's Degree

• 9+ years in one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud platform.

• 4+ years of experience in open source frameworks.

• 7+ years of managing teams.

• 2+ years supporting a production platform such as Slack, Teams, or GSuite with administration and automation.

• 2+ years of experience in Agile methodologies.

Capital One is willing to consider sponsoring a qualified applicant for employment authorization for this position.

The salary range for this role is as follows:

• McLean, VA: $225,400 - $57,200

• Plano, TX: 204,900 - 233,800

• Richmond, VA: 204,900 - 233,800

These figures reflect the full-time annual salaries and may vary based on the location and candidate qualifications. Performance-based incentive compensation, including cash bonuses and long-term incentives, may be available as part of the overall compensation package.

Capital One offers a competitive and inclusive array of health, financial, and other benefits to support your well-being. For more details, visit the Capital One Careers website.

Please note that applications will be accepted for a minimum of 5 business days. Capital One is an equal opportunity employer and promotes a drug-free workplace.

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of