Systems Engineering Salary in San Francisco, CA

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.Job Description Summary:At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. We're a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We're guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world. Role OverviewAs a Senior Director of Engineering for Checkout, your mission will be to revolutionize PayPal's flagship product by delivering rewarding, personalized and highly engaging user journeys for hundreds of millions of users across the globe. This is a high-impact role that will shape the future of digital payments.Job Description:Key Responsibilities1. Strategic Leadership: Provide strategic leadership to the engineering teams, driving a culture of innovation, collaboration, and excellence.2. Team Leadership: Build, mentor, and lead a high-performing engineering team, fostering a culture of innovation, collaboration, and excellence.3. Data-Driven Decision Making: Utilize data analytics and insights to make informed decisions, continuously optimizing personalization strategies to drive user engagement and conversion rates.4. Cross-Functional Collaboration: Collaborate closely with product management, design, analytics, and other engineering teams to integrate machine learning solutions seamlessly into the PayPal Checkout product.5. Technical Excellence: Ensure the team maintains high-quality coding standards, efficient development processes, and rigorous testing methodologies.6. Scalability and Performance: Architect systems that can scale to handle millions of transactions daily while maintaining low latency and high availability.7. Innovation: Stay abreast of industry trends, emerging technologies, and best practices in machine learning, and drive innovation within the organization.8. Risk Management: Identify and mitigate potential technical and operational risks, ensuring the security and reliability of PayPal Checkout.Qualifications- A minimum of 14 years of engineering experience (which includes at least 6 leadership experience), with a track record of managing high-performing teams.- Proven experience in delivering personalized user experiences and driving business impact by working with ML teams.- Strong technical background with expertise in software development, system architecture, and cloud computing.- Exceptional communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.- Experience in the payments industry or a related field is a plus.Additional Job Description:"PayPal is committed to fair and equitable compensation practices.Actual compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this position may include annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For More information visithttps://www.paypalbenefits.comSubsidiary:PayPalTravel Percent:0-PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is$144800 to $319000Our Benefits:At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:Click Here to learn more about our culture and community.PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visithttps://www.paypal.com , https://about.pypl.comand https://investor.pypl.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected] general requests for consideration of your skills, please Join Our Talent Community.

314 Main Street (21020), United States of America, Cambridge, MassachusettsSenior Lead Engineer - Generative AI Product EngineeringOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience..Enable our users to build new AI capabilitiesDevelop tools and processes to monitor API access patterns and operational health.Design and implement AI safety and guardrails in the API layer working closely with researchers.Basic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical field.At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques.At least 8 years of experience programming with Python, Go, Scala, or JavaAt least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networksPreferred Qualifications:Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.Experience at tech and product-driven companies/startups preferred.Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilitiesFamiliarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best 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.New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerCandidates 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 1-800-304-9102 or via email at [email protected]. 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 [email protected] 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).

CompanyFederal Reserve Bank of San FranciscoWe are the Federal Reserve Bank of San Francisco—public servants with a mission to advance the nation’s monetary, financial, and payment systems to build a stronger economy for all Americans. We are a community-engaged bank, and are committed to understanding and serving the vibrant, expansive communities of the Twelfth District. That means we seek and appreciate new perspectives. We respect people for what they do and for who they are. We build opportunities to learn and grow. When you join the SF Fed, you become part of a diverse team united in its purpose to promote an economy that works for everyone. The Federal Reserve System serves as the central bank of the United States. Its fundamental mission is to foster the stability, integrity, and efficiency of the nation’s monetary, financial, and payments systems.This position is responsible for supporting the Federal Reserve System’s Central Bank Digital Currency (CBDC) Research and Development program. Given the US dollar’s importance, the Federal Reserve System seeks to further understand the implications, costs, and benefits of the use of different technologies for a potential US CBDC to better understand this emerging field. This position offers a unique opportunity to be part of a world-class team working on cutting edge technologies related to CBDC R&D. You will participate in a dynamic work environment that has the feel of a startup while also maintaining the benefits of a larger organization.We empower our people to balance their life and work responsibilities. That’s why we offer a flexible hybrid work model that allows you to collaborate with office colleagues on some days, and work from home on others.Job DescriptionWhat you will be responsible for:Designing and implementing scalable distributed systems, primarily in GoWorking with TechOps to containerize and deploy distributed systems in the cloud using KubernetesDesigning and implementing distributed systems protocols such as two-phase commit, replication through distributed consensus and concurrency control algorithmsUtilizing cryptographic algorithms and modern best practices to ensure security and fault tolerance of distributed systemsDesigning and executing wide-scale system and micro-benchmarks to understand and debug performanceWriting system, integration and unit tests to provide quality assurance and prevent regressionsProviding thoughtful and thorough code reviewsWriting clear and concise code and architecture documentationCommunicating solutions, challenges and results to both technical and non-technical teamsWhat skills you will bring:Strong software engineering and debugging skills, with a particular focus on the Go programming languageExperience deploying and testing containerized applications in the cloud using Kubernetes and AWSExperience implementing distributed systems algorithms at scale, particularly consensus algorithms like Raft and BFT, and two-phase commitExperience applying cryptographic algorithms such as hash functions, digital signatures and encryption in a distributed systems contextExperience generating and analyzing runtime flame graphs to identify software bottlenecksExperience with distributed tracing, metrics and observability with a particular focus on Prometheus, Grafana and OpenTelemetryAbility to communicate technical challenges, test results and solutions to both technical and non-technical teamsExperience working with large distributed systems involving hundreds of serversExperience with database fundamentals, secure transport, API development and maintenanceMust be a U.S Citizen or a Green Card holder with intent to become a U.S CitizenBase Salary Range: Min: $138,900 - Mid: $180,400 - Max: $221,900 (Location: San Francisco)Final salary and offer will be determined by the applicant’s background, experience, skills, internal equity, and alignment with market data.We offer a wonderful benefits package including Medical, Dental, Vision, Pre-tax Flexible Spending Account, Backup Childcare Program, Pre-Tax Day Care Flexible Spending Account, Paid Family Care Leave, Vacation Days, Sick Days, Paid Holidays, Pet Insurance, Matching 401(k), and Retirement/Pension.  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. The SF Fed is an Equal Opportunity Employer. #LI-Hybrid Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation TechnologyWork ShiftFirst (United States of America)The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.Privacy Notice

RESPONSIBILITIES:Kforce has a client that is seeking a Systems Architect in San Francisco, CA.Duties Include: Analyzes, designs, develops, and supports all major information systems Involved in determining the strategic direction of systems; determines the protocols tools, languages, and databases to be used; And understands how all data, applications and hardware functions and interact The Systems Architect will be involved in all major systems development and re-engineering efforts Provides applications and administration expertise in multiple areas, including UNIX-based servers, relational databases, LAN/WAN architectures, and other similar environmentsREQUIREMENTS: Python Spark, Scala NoSQL Db (Cassandra or similar) Relation Databases (preferably MSSQL, Postgres, DB2, and Oracle) Airflow Public cloud (preferably Azure) CI/CD (Git, Jenkins, etc.) The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

DESCRIPTION--About ART19--ART19 is a leading audio platform, providing cutting-edge tools for on-demand hosting, distribution, ad serving, and audience measurement. At the intersection of publishers and advertisers, the company powers hundreds of millions of podcast downloads every month for the industry’s largest shows. ART19 enables publishers to manage all content and ad operations in one place, offering best-in-class targeting capabilities, seamless integration with listening platforms, and a flexible infrastructure to continuously enhance revenue opportunities for its customers. ART19 equips advertisers with services to reach audiences through smart targeting and custom ad creative capabilities.In addition to offering best-in-class podcast hosting and we also power ad products that enable a growing targeted ad marketplace across a pool of more than 1,000 podcasts that includes shows such as “How I Built This", "Morbid," and "Smartless", from major podcast networks like Wondery, CBS News, and NBC Universal.Key job responsibilities* Solving problems at scale excites you.* You are interested in being part of a high-bar team with responsibility for the Network Security software used across all of Amazon’s businesses* You talk to customers and design solutions to their problems; you automate and innovate.* You believe that the craft of software engineering is about writing code right the first time. For you, code reviews and automated testing are not chores – they are a core part of writing great software.* You do not throw your code over the wall. You launch it, own it, support it and make it incrementally better for the benefit of customers.* You enjoy working in a flexible, fast-paced, collaborative team environment.A day in the lifeWe prioritize distraction-free productivity so a day in the life of an ART19 engineer is focused and hands-on. You will work within a team of cross-functional engineers, product managers and designers, constructing the end-to-end features to enhance best-in-class tools for podcast creators. You will find yourself writing and reviewing code, architecting cool new things, and solving technical challenges.--Work/Life Harmony--Our team also puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. --Mentorship & Career Growth--Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and detailed and constructive code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.About the teamWe believe in delivering the highest quality tools to empower and delight our customers. We act swiftly - recognizing our customers’ changing needs - and regularly introduce groundbreaking features. Each member of the team is an owner and we give them the agency and voice necessary to thrive. We take a test driven development (TDD) approach to building software and lean into iterative release management.We are open to hiring candidates to work out of one of the following locations:Culver City, CA, USA | San Francisco, CA, USABASIC QUALIFICATIONS- 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience- 3+ years of deploying and operating in a Linux/Unix environment experience- 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Track record of building and delivering mission critical 24x7 production software systems.PREFERRED QUALIFICATIONS- Experience in SRE principals and establishing SRE program parameters.- Strong knowledge of AWS services such as ECS, EC2, S3, RDS, Lambda and VPC.- Experience with Infrastructure as Code (IaC) tools, such as Terraform.- Demonstrated experience in implementing and managing CI/CD pipelines and automation tools, such as GitLab.- Strong understanding of networking, security, and monitoring best practices.- Proficiency in containerization technologies such as Docker, ECS, and ECR- Strong object-oriented design and experience with web application development using Ruby on Rails.- Experience with data and data warehousing technologies such as Redshift / PostgreSQL / Druid- Experience with application monitoring strategies and tools.- Experience with observability technologies such as Open Telemetry, Prometheus, Grafana, etc.- Proficiency with CDN technologies such as Fastly.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $121,000/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

The Generative AI Org at Meta is seeking a technical leader to join our team and work on chatbots, characters and personas. Our team is responsible for making Meta the world's preferred destination for building and engaging with characters. For Connect 2023, we launched a set of characters that users are able to message and engage with, including Dungeon Master, Billie, and Bob the Robot. In 2024 and beyond, we will be looking to scale our learnings to build a platform where anyone can create a character. Our ML team's specific responsibility will be to deliver core LLM models that power the overall platform and user experience. Software Engineering Manager, Generative AI - Characters Responsibilities: Grow a team of domain experts in LLM for chatbots and charactersDrive execution of developing models and systems that are crucial to the end user experienceDevelop technical vision, long-term strategy and set direction for the team and the organizationCommunicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects Minimum Qualifications:Track record in landing product impact3+ years of hands-on supporting and leading teams of ML engineers/scientistsProven technical vision in where the field of Generative AI will goExperience with cross functional collaboration with product and platform teams, as well as non-engineering functionsDemonstrated experience recruiting, building, structuring, leading technical organizations, including performance management5+ years of hands on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development Preferred Qualifications:PhD in deep learning, artificial intelligence, and/or related technical fieldExperience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.Experience and knowledge of working with LLM frameworks like LangChainExperience and knowledge of training LLMs About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

Center 3 (19075), United States of America, McLean, VirginiaSenior Engineer - Generative AI Product EngineeringOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.Enable our users to build new GenAI capabilities.Develop tools and processes to monitor API access patterns and operational health.Design and implement AI safety and guardrails in the API layer working closely with researchers.Basic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 4 years of experience designing and building and deploying ML application platforms.At least 4 years of experience programming with Python, Go, Scala, or JavaAt least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networksPreferred Qualifications:Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.Experience at tech and product-driven companies/startups preferred.Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.Familiarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best practices.Keen attention to following production standards and practices.Passionate about ML optimizations and open source technologies.At this time, Capital One will not sponsor a new 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.New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerCandidates 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 1-800-304-9102 or via email at [email protected]. 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 [email protected] 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).

DESCRIPTIONWe are looking for a self-motivated Senior Product Manager with strong interpersonal skills and experience leading large scale initiatives. The successful candidate will drive the transformation of our building automation system across a global portfolio of real estate facilities, contributing to Amazon’s 2040 goal of achieving net-zero carbon (NZC). The Enterprise Building Management System (EBMS), our cloud-based building analytics platform, is evolving with smart analytics capabilities centered on leveraging machine learning and artificial intelligence (ML/AI) to support operation facilities globally. We are actively seeking a highly-motivated, multi-talented Senior Product Manager who is enthusiastic about developing cloud-based products with a focus on design, quality, performance, and customer satisfaction. The candidate will serve as the product lead with sufficient knowledge and understanding of how to optimize team and processes, and to deliver scalable solutions. Key job responsibilities• Lead the WWREE and Sustainability EBMS product definition, design, development, and launch of products that delight customers• Lead the WWREE and Sustainability EMBS product development strategy and vision supported by internal and external analysis• Create buy-in for the product vision both internally and with key external partners• Define creative, high quality, simple product roadmaps based on product strategy and vision• Work closely and collaboratively with design and product teams from partner organizations• Develop and track detailed business requirements and user stories that can be used to create product specifications and application architecture for each product• Influence backlog prioritization and trade-offs among customer feedback, performance, and operational support load• Work closely with hardware and software engineering teams to deliver features to market• Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goalsWe are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USA | San Francisco, CA, USABASIC QUALIFICATIONS- Bachelor's degree- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- Experience contributing to engineering discussions around technology decisions and strategy related to a product- Experience managing technical products or online services- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planningPREFERRED QUALIFICATIONS- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight- Experience in building and driving adoption of new toolsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $121,000/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

$24.50 - $35.00 (est. hourly)Job Summary:Our client is seeking an Engineering Technician to join their team! This team is located in San Francisco, California.Duties:Assist engineers and scientists in developing new or updated electronics and electro-mechanical systems or components for genetic analysis instrumentsSet up electronic systems and devicesAssemble and connect system componentsTroubleshoot, test, modify, repair, malfunctions in circuitry in existing electronic products, equipment, and controlsAssist in electronic component layouts and create schematics for PCBAsAssist in general procurement of components and hardware for the engineering development teamDesired Skills/Experience:5+ years of experience with electronicsAbility to understand electrical schematics, mechanical drawings, as well as written instructions and specificationsExperienced in PCB reworkCapable of crimping small connector terminalsExperience in routing wiring in instruments and creating wire harnesses from scratchKnowledge on how to use multimeter and oscilloscope to troubleshoot PCBAsExperience with using Microsoft Office software such as Word, Excel, and PowerPointGood communication skillsBenefits:Medical, Dental, & Vision Insurance Plans401K offered

Our client is an international commercial real estate developer, owner and manager! The company has an extraordinary team of passionate professionals who promote within and are dedicated to cultivating careers for exceptional talent. Job Description - With strong project and vendor management skills and excellent attention to detail, the Facilities Engineering Manager will manage maintenance techs on all phases of capital improvement projects, establishing project scope, budgets, schedules and management of deadlines. The Facilities Engineering Manager will oversee the development, implementation, and day-to-day operations of a facility operations and maintenance program covering a wide variety of facilities with a geographic radius of nearly 400 miles. Additional responsibilities for the Facilities Engineering Manager include the following:Responsibilities:Coordinate efforts of all individuals involved in project completion including, but not limited to, attorneys, architects, engineers, general contractors and municipal officialsConduct regular field inspections tracking progress of projects and generating status reportsAbility to foster effective working relationships and build consensus to actively manage and coordinate project meetings and meets with key customer contacts on monthly basis.Ensure compliance with company site safety requirements - fire/life/safety compliance with regards to drills and evacuationsAssures that all appropriate Landlord approvals are obtained for alterations/remodels.Manages service providers of the leased spaces wherein the Facility is responsible for 100% of the maintenance.Ability to conduct analysis, plan, organize and manage building operational services; develop, implement and evaluate a variety of building and operation systems and preventative maintenance programsAbility to understand the terms of a contract for facilities maintenance or repair and ensure that work is performed accordingly to that contractManages the Landlord/Property Manager relationships to assure adherence to lease terms from two perspectives: The Facility as Tenant and the Facility as Landlord.Performs regular site inspections with service providers. While adhering to and/or develop quality indicators.Prepares annual operating and capital budgets and explains budget variances.Supports transition from Design & Construction or Facility Planning to occupancy.Supports preparing requests for proposals (RFPs) as necessary and negotiates service contracts.Must perform all duties and responsibilities in accordance with the Service Standards of the Facility(s)Requirements:5 years of related Project Management experience working with multiple sites.Highly proficient in MS Word, Excel, Outlook, and project management systems.Excellent customer service skills and ability to complete projects timely and with high quality - we need a Construction Project Manager with excellent follow through!Ability to manage multiple projects, prioritize as necessary and leverage resources throughout the organization.Exceptional problem solving, written, and verbal communication skills.License/Certification: CDL California Driver's LicenseEducationBachelor's degreeCompensation$110 - $125/yrly