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Mercor is seeking Computer Science PhDs for a premier project with one of the world's top AI labs. This role pays between $65-75/hour. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Computer Science from a top US university. - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 10-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late September with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: • Design code and systems that touch world population while influencing Visa’s internal standards for scalability, security, and reusability, • Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings, • Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads, • Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions., • Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology, • Demonstrates relevant technical working knowledge to understand requirements., • Identifies and contributes to the development and solution strategies to team members that improve the design and functionality of interface features across one or more project features, under minimal guidance., • Applies standard processes on the use of programming languages e.g. HTML, C++, Java to write code that fulfills website modification requests and technical requirements., • Collaborates with others to support the piloting of new technology capabilities and features that enhance the user website experience across e-commerce products., • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale, • Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions, • Language Expertise: Expertise in one or more general development languages e.g., Java, C Sharp, C++, • Builder: Experience building and deploying modern services and web applications with quality and scalability, • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc., • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile Scrum teams, • Front-end leadership delivering enterprise UI with React Angular and TypeScript, establishing design systems and component libraries used across multiple products, • Performance-focused engineering improving Core Web Vitals, bundle size, and perceived latency for high-SLA, customer-facing applications, • Accessibility champion implementing WCAG 2.1 AA, semantic HTML, ARIA, keyboard navigation, and thorough a11y testing, • Secure UI integrations with OAuth OIDC, robust session management, CSRF XSS mitigation, and compliant handling of user data, • Comprehensive UI testing strategy using Jest, React Testing Library, Cypress Playwright, integrated into CI for gated releases, • Collaboration with Product Design using Storybook, Figma, and design tokens to ensure consistency, reusability, and rapid delivery, • Global-ready UI with i18n L10n, RTL support, and locale-aware formatting, resilient across browsers devices, • Experience with micro-frontends, module federation, and monorepo practices to scale delivery across distributed teams. Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD Bachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five 5 years of experience in a directly related field. OR Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum three 3 years of experience in a directly related field. OR Front-End Programming Languages: Knowledge of and ability to develop front-end code e.g. HTML, CSS, and JavaScript in support of package and product development. This includes the extension of capabilities of packages and products. Web Browser Optimization: The ability to select the best available values of some objective function to improve the functional effectiveness of web browsers. User Interface Design: Knowledge of user interface design, which is the interaction where users and computers interact. This includes an understanding of how to provide an optimal industrial design experience through User Interface UI Design. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 131,600.00 to 190,650.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description We are seeking a skilled BeyondTrust Privileged Access Management (PAM) Engineer to design, implement, and maintain our privileged access security infrastructure. The successful candidate will be responsible for managing BeyondTrust solutions to protect critical systems and sensitive data by controlling and monitoring privileged user access across our enterprise environment. Key Responsibilities Implementation and Configuration • Deploy, configure, and maintain BeyondTrust Password Safe, Privileged Remote Access, Endpoint Management, • Design and implement privileged access policies and workflows aligned with security best practices, • Configure password vaulting, session recording, and automated password rotation capabilities, • Monitor system performance, availability, and security of BeyondTrust infrastructure, • Perform regular system updates, patches, and maintenance activities, • Manage user accounts, groups, and access permissions within the PAM platform, • Develop and enforce privileged access governance policies and procedures, • Conduct regular access reviews and audit privileged account usage, • Generate compliance reports for internal and external audits, • Implement security controls to prevent unauthorized privileged access, • Create and maintain technical documentation, runbooks, and standard operating procedures, • Provide training and support to end users and IT staff on PAM best practices, • Document system configurations, integrations, and customizations, • Develop disaster recovery and business continuity procedures for PAM systems Qualifications, • Bachelors Degree and 6+ years of experience OR Masters Degree and 5+ years of experience OR PhD and no experience, • Experience with BeyondTrust PAM solutions (Password Safe, Privileged Remote Access, etc.), • Strong understanding of privileged access management concepts and security frameworks, • Experience with Windows and Linux system administration, • Knowledge of Active Directory, LDAP, and identity management systems, • Familiarity with database administration (SQL Server, Oracle, MySQL), • Understanding of network protocols, firewalls, and security architecture, • Bachelor's degree in Computer Science, Information Security, or related field, • Strong analytical and problem-solving abilities, • Excellent communication and documentation skills, • BeyondTrust certified professional credentials, • Security certifications such as CISSP, CISM, or GSEC, • Knowledge of DevOps tools and practices (Ansible, PowerShell, Python scripting), • Understanding of cloud platforms (AWS, Azure, GCP) and hybrid environments, • Experience with SIEM integration and log analysis, • Experience working in regulated industries (finance, healthcare, government), • Knowledge of DevOps tools and practices (Ansible, PowerShell, Python scripting), • Understanding of cloud platforms (AWS, Azure, GCP) and hybrid environments, • Experience with SIEM integration and log analysis Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is building a next-generation Agentic AI and Data Platform to enable intelligent automation, adaptive workflows, and data-driven decision-making across our global post-purchase ecosystem. As a Data Engineer, you will lead the architecture, modernization, and scaling of Visa’s enterprise data infrastructure—bridging the existing SQL Server–based data warehouse with the new Hadoop and Databricks data lake platform. You will ensure seamless data flow, optimized performance, and integration of data services that support AI, GenAI, and Agentic systems. This is a hands-on leadership role requiring deep data engineering expertise and the ability to work across both legacy modernization and new platform innovation. You will collaborate closely with the Principal Agentic Engineer, ML teams, and business stakeholders to enable AI-driven insights and intelligent data orchestration. Essential Functions: This role does not offer relocation or immigration support now or in the future. Qualifications Basic Qualifications: • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD, • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field., • Proven success supporting and modernizing SQL Server–based data warehouses in high-SLA environments., • Production-level experience architecting Hadoop, Spark, and Databricks data pipelines., • Expertise in ETL/ELT frameworks, data modeling, and schema design for analytical and operational use cases., • Strong programming proficiency in Python, Java, or Scala., • Hands-on experience with AWS or Azure (Glue, Synapse, Redshift, Delta Lake, S3)., • Familiarity with Kafka, Airflow, Kubernetes, and containerized data services., • Understanding of RAG pipelines, vector databases, and AI data flows., • Experience designing data pipelines and APIs compatible with Model Context Protocol (MCP)-based agent frameworks, enabling seamless integration between AI agents, data services, and enterprise APIs, • Strong SQL optimization, debugging, and production troubleshooting experience., • Experience leading data warehouse migration or modernization from SQL Server to Hadoop/Spark ecosystems., • Deep understanding of data lineage, metadata management, and governance frameworks (e.g., Atlas, Great Expectations)., • Familiarity with LangChain, LangGraph, and MCP for integrating AI agents with data systems., • Strong ability to balance innovation and stability across coexisting legacy and modern data architectures., • Proven track record mentoring engineers and collaborating across global teams. Leadership Attributes: • Go-Getter: Executes decisively and thrives in complex, hybrid data environments., • Builder: Hands-on architect who delivers scalable, production-grade data systems., • Hustler: Operates with urgency and accountability across multiple technology stacks., • Entrepreneurial: Drives innovation in data architecture and modernization., • True North: Leads with integrity and alignment to Visa’s mission and long-term data strategy., • Lead by Example: Sets high standards of excellence and transparency., • Execute with Excellence: Ensures reliability, performance, and operational maturity across all data systems. Tech Stack Snapshot: • Languages: Python, Java, Scala, SQL, T-SQL, • Data Systems: SQL Server, Hadoop, Spark, Databricks, Delta Lake, Snowflake, • Pipelines: Kafka, Airflow, Glue, Azure Data Factory, • AI Integration: LangChain, LangGraph, • Cloud Platforms: AWS, Azure, • Infra: Docker, Kubernetes, Terraform, Jenkins, • Governance: Great Expectations, Atlas, Data Privacy & Encryption Frameworks Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 152,200.00 to 220,850.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. Essential Functions: • Design, build, and ship AI-powered tools that enhance the autonomous development lifecycle - from code commit to production deployment, • Convert AI concepts into concrete, working products with clear success metrics and measurable impact, • Build AI systems that improve software quality through intelligent code analysis, test optimization, and automated defect detection, • Develop AI-powered log analysis tools that autonomously identify issues, patterns, and anomalies across build, test, and deployment phases, • Create AI-driven solutions that provide deep insights into code quality, technical debt, and system performance, • Build deployment log analysis capabilities that automatically detect and diagnose release issues in real-time, • Implement one-click deployment and release automation with AI-powered validation and rollback capabilities, • Develop independent release systems with integrated metrics, alerts, and intelligent decision-making, • Solve engineering CI problems using AI agents - including build failures, automation failures, flaky tests, and code merge conflicts, • Apply AI engineering mindset to break down complex automation visions into achievable, shippable milestones, • Integrate with CI/CD platforms (Jenkins, GitLab, GitHub Actions, Argo CD) to automate test recovery, mock service generation, and code validation, • Develop test automation frameworks and intelligent test analysis tools that evolve from basic classifiers to self-healing systems, • Build audit trace systems to track AI decision-making, automated actions, and developer interventions across the SDLC, • Create AI agent orchestration layers that manage autonomous workflows throughout the software development lifecycle, • Design modular AI architectures that allow incremental feature additions and version upgrades, • Develop web-based dashboards and visualization tools for monitoring AI agent performance, KPIs, and failure trends, • Work cross-functionally with DevOps, QA, and Platform Engineering to improve system reliability and developer velocity, • Conduct root cause analysis for automation failures and CI/CD regressions using data-driven and AI-based methods, • Collaborate with product owners to gather requirements and ensure AI tools deliver practical value quickly, • Drive continuous innovation in AI-driven developer productivity through research, prototype building, and production rollouts, • Demonstrate strong execution - shipping working AI tools on schedule, iterating based on feedback and metrics Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD 6+ years of software engineering experience with strong background in AI systems and developer productivity tools. Proven ability to design, build, and ship AI-powered solutions that enhance the autonomous development lifecycle, improve software quality, and solve CI/CD problems. BS/MS/PhD in Computer Science, Software Engineering, Artificial Intelligence, or related technical field 5+ years of experience designing or leading development of developer productivity tools, AI agents, or platform engineering systems Proven track record of delivering AI solutions that enhance the autonomous development lifecycle and improve software quality Demonstrated ability to build AI-powered tools for log analysis, deployment automation, and CI problem resolution Experience creating independent release systems with one-click deployment capabilities and intelligent monitoring Strong understanding of CI/CD pipelines, DevOps frameworks, and experience with Jenkins, GitLab CI, GitHub Actions, Argo CD, Docker, Kubernetes Proven experience creating AI-assisted developer tools for mock service generation, log and trace analysis, root cause identification, and code merge conflict resolution Skilled in developing backend and frontend components using Python, Java, Spring Boot, React, and Node.js Strong knowledge of AI engineering methodologies with practical approach to production deployment and AI agent orchestration Hands-on experience with AWS, GitOps, Helm, and Kubernetes for deployment and observability Experience with QA automation (UI: Playwright, API: Rest Assured/Jest/Jasmine), ETL processes, and data pipelines Proficiency with Kafka, Hazel cast, MySQL, Elasticsearch/OpenSearch, and log analysis frameworks is a plus Demonstrated ability to convert AI concepts into working products and tools - from simple MVPs to complex production systems Demonstrated experience developing automation and AI-assisted developer tools across build, test, and release cycles Soft Skills: Excellent problem-solving and analytical skills Strong product mindset with ability to prioritize features and deliver incremental value Pragmatic approach to AI development - knowing when to build simple vs. complex solutions Ability to communicate technical concepts clearly and collaborate across engineering and product teams Passion for innovation and building AI systems that empower engineers Strong ownership mindset and curiosity to explore emerging AI technologies Bias toward action and shipping - comfortable releasing v1 and iterating rather than over-engineering Preferred Tools and Platforms: Languages: Python, Java, JavaScript (React, Node.js, Express.js), Shell scripting Frameworks: Spring Boot, React, Lang Chain, Lang Graph, JUnit, Jest, Jasmine, Rest Assured DevOps Tools: Jenkins, Argo CD, GitHub Actions, GitLab CI, Docker, Docker-Compose, Helm, Kubernetes AI/ML Tools: Open AI API, Anthropic, Claude Code, Cline, Copilot Testing Tools: Playwright, Rest Assured, JUnit, Jest, Jasmine Data and Messaging: Kafka, Hazel cast, MySQL, ETL tools (Clover) Observability: Elasticsearch/OpenSearch, Grafana, Kibana, Prometheus Cloud Platforms: AWS (preferred), Azure, or GCP Performance Testing: Gatling, JMeter Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 131,600.00 to 190,650.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa aims to position itself as a global leader in AI-driven innovation by leveraging Generative AI to transform Corporate IT into a strategic engine for growth. The Senior Director, GenAI will define and execute an enterprise-wide AI roadmap, ensuring ethical, secure, and compliant adoption while modernizing IT infrastructure through AI-powered automation and predictive analytics. By harnessing Visa’s vast transaction data for real-time intelligence and deploying synthetic data for secure testing, this role will unlock new insights and accelerate innovation. Additionally, AI-driven tools will enhance employee productivity and customer experiences through virtual assistants, multilingual chatbots, and personalized services. These initiatives will deliver measurable outcomes, including reduced operational costs, faster product launches, improved risk management, and a stronger competitive edge. Essential Functions: Strategic Leadership • Define and execute the corporate Gen AI roadmap aligned with business goals., • Identify high-impact use cases across internal Visa enterprise clients (e.g., Corporate IT, Finance, People, Legal)., • Establish governance frameworks for ethical and responsible AI deployment., • Oversee the design, development, and deployment of GenAI models and platforms., • Drive integration of AI solutions into existing enterprise systems and workflows., • Ensure scalability, security, and compliance with regulatory standards., • Stay ahead of emerging trends in AI, machine learning, and large language models., • Foster partnerships with Visa's internal AI research teams, industry leaders, and technology vendors., • Build and manage a high-performing team and multidisciplinary team of software development engineers, data engineers, product managers, and technical program managers., • Collaborate with executive leadership to align AI initiatives with Visa's 2030 strategy and the Corporate IT roadmap., • Communicate complex AI concepts to non-technical stakeholders effectively., • Drive change management and adoption of Corporate Gen AI tools across the organization. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: • 12+ years of relevant work experience and a Bachelors degree, OR 15+ years of relevant work experience Preferred Qualifications: • 15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience, • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related field., • Expertise in building and deploying LLMs, NLP, and advanced ML techniques., • Strong understanding of cloud platforms (Azure, AWS, GCP) and MLOps., • Exceptional strategic thinking, communication, and leadership skills., • Demonstrated ability to deliver consistent results while fostering healthy, sustainable team cultures, • Exceptional talent for developing teams and technical bench through structured coaching, feedback, and accountability, • Proven track record of enterprise-scale IT transformation projects., • Familiarity with data governance, security, and compliance frameworks., • Knowledge of data engineering, API integration, and enterprise architecture., • Self-motivated with the ability to exercise independent judgment with minimal direction., • Strong leadership and organizational skills with the ability to adapt quickly to changing enterprise priorities. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 206,100.00 to 322,150.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Visa is building a next-generation Agentic AI services that brings intelligent, autonomous agents into large-scale distributed applications across our global ecosystem. We’re seeking a Sr. Consultant Software Engineer who will architect, design, and build scalable backend systems that integrate AI agents into Visa’s enterprise infrastructure. You will work with other Senior Engineers and technical leaders to define the architecture, scaling strategy, and engineering standards for Visa’s AI-driven products. This is a role for a hands-on technical leader — a go-getter, builder, and problem solver with deep experience in Java microservices, GenAI integration, and distributed system design, and a true-north, entrepreneurial mindset focused on speed, quality, and innovation. Essential Functions: This role does not offer relocation or immigration support now or in the future. Qualifications Basic Qualifications: • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field., • 2 or more years of backend experience with Python (FastAPI, Flask, or similar frameworks)., • Production-level experience in building and deploying AI Agentic solutions, including orchestration of LLM-based agents, integration with enterprise microservices, and troubleshooting live production environments., • Hands-on experience implementing LLM, GenAI, and RAG systems using frameworks such as LangChain, LangGraph, or Autogen., • Experience building and integrating Model Context Protocol (MCP) frameworks for tool and API interoperability, • Strong understanding of AI orchestration and LLM integration patterns in distributed environments., • Proven experience building and scaling distributed microservice architectures., • Proficiency in REST/gRPC API design, event-driven architectures, and message queues (Kafka, RabbitMQ)., • Experience with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) pipelines., • Hands-on expertise with cloud platforms (AWS, GCP, Azure)., • Familiarity with SQL and NoSQL databases (MySQL, DynamoDB, MongoDB)., • Experience with containerization and CI/CD pipelines (Docker, Kubernetes, ArgoCD, Jenkins, GitHub Actions)., • Go-Getter: Executes decisively, drives clarity, and thrives in ambiguity., • Builder: Hands-on technologist who delivers high-impact systems from prototype to production., • Hustler: Operates with urgency and persistence to overcome obstacles., • Entrepreneurial: Innovates beyond defined scope, with ownership and bias for action., • True North: Leads with integrity, clarity, and long-term vision., • Lead by Example: Demonstrates accountability, openness, and excellence in technical and people leadership., • Languages: Java (Spring Boot), Python (FastAPI, Flask), TypeScript, • AI Frameworks: LangChain, LangGraph, Autogen, LlamaIndex, • LLMs: GPT, Claude, Mistral, Gemini, • Data: MySQL, Hazelcast, Pinecone, FAISS, • Infra: Docker, Kubernetes, ArgoCD, AWS/GCP, • Frontend Integration: React, GraphQL, REST/gRPC APIs Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 152,200.00 to 220,850.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

hackajob is collaborating with GSK to connect them with exceptional tech professionals for this role. Site Name: Seattle Sixth Ave Posted Date: Oct 13 2025 The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways. Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”. Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent. Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time. At GSK we see a world in which advanced applications of AI will allow us to develop transformational medicines using the power of genetics, functional genomics, and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of AI and Machine Learning. We're looking for a highly skilled Senior AIML Optimization Engineer to help us make this vision a reality. Our AIML & Scientific Computing Optimization team is focused on optimizing first-in-class Compute and AIML platforms that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing. This metadata-forward, CI/CD-driven platform represents and enables the entire application and analysis lifecycle including interactive development and explorations (notebooks), large-scale batch processing, observability and production application deployments. The optimization team’s focus is on maximizing scale and performance of all aspects of the platforms. The AIML & Scientific Computing Optimization team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career from day one, supporting individuals in dedicating 20% of their time towards personal development. Key Responsibilities: Serve as a key engineer for the optimization team and contribute technical expertise to teams in closely aligned technical areas such as DevOps, Cloud and Infrastructure Lead design of major optimization software components of the Compute and AIML Platforms, contribute to development of production code and participate in both design reviews and PR reviews Accountable for delivery of scalable solutions to the Compute and AIML Platforms that supports the entire application lifecycle (interactive development and explorations/analysis, scalable batch processing, application deployment) with particular focus on performance at scale Partner with both AIML and Compute platform teams as well as scientific users to help optimize and scale scientific workflows by utilizing deep understanding of both software as well as underlying infrastructure (networking, storage, GPU architectures, …) Participate or leads scrum team and contribute technical expertise to teams in closely aligned technical areas Able to design innovative strategy and way of working to create a better environment for the end users, and able to construct a coordinated, stepwise plan to bring others along with the change curve Standard bearer for proper ways of working and engineering discipline, including CI/CD best practices and proactively spearhead improvement within their engineering area Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelor’s, Master’s or PhD degree in Computer Science, Software Engineering, or related discipline. 6+ years of experience with Bachelor's, 4+ Years of experience with Masters and 2+ years of experience with PhD using specialized knowledge in cloud computing, scalable parallel computing paradigms, software engineering, and CI/CD. 2 + years of experience in AIML engineering, including large-scale model training and production deployment. Preferred Qualifications: If you have the following characteristics, it would be a plus: Deep experience using at least one interpreted and one compiled common industry programming language: e.g., Python, C/C++, Scala, Java, including toolchains for documentation, testing, and operations / observability Deep experience with application performance tuning and optimization, including in parallel and distributed computing paradigms and communication libraries such as MPI, OpenMP, Gloo, including deep understanding of the underlying systems (hardware, networks, storage) and their impact on application performance Deep expertise in modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, metrics / monitoring, Deep cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure-as-code tools (Terraform, Ansible, Packer, …) and scalable cloud compute technologies, such as Google Batch and Vertex AI Expert understanding of AIML training optimization, including distributed multi-node training best practices and associated tools and libraries as well as hands-on practical experience in accelerating training jobs Understanding of ML model deployment strategies, including agent systems as well as scalable LLM model inference systems deployed in multi-GPU, multi-node environments Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab) Experience with Docker, Kubernetes, and the larger CNCF ecosystem including experience with application deployment tools such as Helm Experience with low level application builds tools (make, CMake) and understanding of optimization at the build and compile level Demonstrated excellence with agile software development environments using tools like Jira and Confluence #LI-GSK Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements.

Mercor is seeking experienced STEM educators (US High School) for a premier AI pilot project with one of the world’s leading AI research labs. In this role, you will leverage your classroom experience and pedagogical expertise to help shape the future of artificial intelligence. Your insights will contribute to the development of large language models that understand and reflect how expert educators teach and explain complex STEM concepts. Please note, those that are not teachers but personal tutors will be considered for this role. ### You're a great fit if you: - Are a licensed high school teacher in the United States - Have 3+ years of full-time teaching experience - Hold at least a masters degree in education or a STEM subject area - Currently teach a STEM discipline such as:Mathematics, Physics, Chemistry, Biology, Computer Science, Engineering - Routinely design and deliver rigorous, standards-aligned instruction - Can clearly articulate your thought process and teaching strategies - Have strong written communication skills and a passion for education ### Here are more details about the role: - The role begins Mid-July, with rolling start dates thereafter - Requires 10–20 hours/week, with potential to expand to up to 40 hours/week - Fully remote, with flexible working hours - Ideal for educators looking to engage in meaningful part-time work over the summer or alongside teaching responsibilities ### Ideal candidates include: - Public or private school teachers actively teaching STEM subjects - Department heads or instructional coaches in STEM areas - Former teachers recently transitioned from the classroom with continued ties to education - Teachers who have contributed to curriculum development, assessments, or teacher training ### Pay and legal status: - You will be legally classified as an hourly contractor for Mercor - Payments are issued weekly via Stripe Connect ### Screening Process: - You’ll complete an AI interview (15-20 minutes) and then an assessment (45-60 minutes). The assessment will directly assess your clarity of thought, attention to detail, and your potential ability to complete this project. * * * About Mercor Mercor specializes in recruiting domain experts to support AI research and development. Based in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today to help build the next generation of intelligent educational tools—and bring your classroom expertise to the forefront of AI innovation. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Job Description Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. * Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. * Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. * Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. * Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. * Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. * Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. * Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications * Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. * Excellent written and verbal communication; proactive and collaborative mindset. * Comfortable in hybrid or distributed environments with strong ownership and accountability. * A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. * Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience * 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. * Expert SQL (query optimization on large datasets) and Python skills. * Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). * Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. * Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). * Bonus: Strong Node.js skills for faster onboarding and system integration. * Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

The Computer Science instructor is responsible for teaching Computer Science courses to first and second year transfer and professional-technical students. This primarily includes Introduction to Programming (Python), Computer Science I (Java), and Computer Science II (Java). Masters' degree in Comp