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Job DescriptionCompany Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description The Analyst, Technical Solutions for the Elite Care – Escalated Team is an individual contributor role responsible for managing complex and escalated client issues for Visa’s Elite Care clients. This position requires strong problem-solving skills, sound judgment, and the ability to operate independently while coordinating across multiple internal teams. The role serves as an escalation point within the Elite Care support model, handling issues that may span multiple products, platforms, or processes and require advanced investigation, coordination, and client communication. The analyst partners with internal stakeholders to drive resolution and ensure a high-quality client experience. Responsibilities • Serve as the primary point of contact for escalated Elite Care client issues, managing complex cases from intake through resolution, • Deliver high‑value, client‑focused support to Visa clients and internal partners, including sensitive and time‑critical situations, while advocating for client needs, • Act as a subject matter expert across multiple Visa Business Solutions products, maintaining deep technical and operational knowledge, • Independently assess complex client issues, determine appropriate resolution paths, and coordinate cross‑functional teams to drive timely resolution, • Lead and coordinate cross‑functional service delivery initiatives involving Client Success, Sales, Product, Engineering, Systems, and other internal teams, • Represent the client perspective internally by clearly communicating issue details, business impact, urgency, and required outcomes to ensure proper prioritization, • Bridge the knowledge gap between client business stakeholders and technical teams by translating requirements, system behavior, and operational impacts, • Proactively identify recurring issues, operational inefficiencies, and process gaps, and contribute recommendations to improve service quality and client experience, • Support and drive continuous improvement initiatives, including service delivery enhancements, operational reviews, and client‑driven improvement plans, • Manage complex customer change requests, system enhancements, and operational requirements while negotiating expectations internally and externally, • Maintain proactive, clear, and professional communication with clients and internal stakeholders throughout the issue and escalation lifecycle, • Ensure prompt, thorough resolution of client inquiries and maintain accurate, up‑to‑date support documentation within required timelines, • Build and sustain strong working relationships with key clients and internal stakeholders at all organizational levels, • Provide guidance and support to lower‑tier analysts on complex cases, escalation handling, and best practices, • Educate and train clients on supported services, best practices, and operational optimization, • Monitor trends, client usage patterns, and industry developments to support client initiatives and Visa’s strategic objectives, • Report key client outcomes, project accomplishments, and deliverables to senior management, • Provide leadership and timely escalation to management when issues arise that may jeopardize resolution or client satisfaction Basic Qualifications: • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)4 or more years of work experience with a Bachelor’s Degree, • In-depth technical experience such as customer support / technical support., • Familiarity with the following tools: SQL, Splunk, Power BI, Tableau., • Client facing experience. Demonstrated success in customer relationship management., • Candidate must be a self-starter and have a disposition to work independently with a commitment to detail in an organized manner., • Experience working with e-commerce platforms, transaction processing and payment service providers (gateways)., • Understanding of mobile payments and architecture, including, NFC, TSMs, OTA, secure elements, contactless payments, online/remote payments, QR Codes, cloud based payments and chip cards (contact and contactless)., • Demonstrated strong leadership capabilities and interpersonal skills, • Executive-level written and verbal communication, and customer interaction skills, • Strong organization skills including resolution management and follow up, • Strong problem solving skills 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 this position is 89,200.00 to 138,600.00 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 Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Seeking PhD holders, doctoral candidates, and exceptional Masters graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. Key Domain Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply -- were excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering Key Responsibilities • Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines., • Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps., • Provide structured feedback and benchmarking using specialized evaluation tools., • Work independently and asynchronously as part of a distributed research team. Requirements PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. Strong command of graduate-level chemistry concepts and scientific problem solving. Excellent written communication and analytical thinking skills. Ability to work independently in a remote, asynchronous environment. Role Details Part-time contract Role(20 hour/week) Remote and asynchronous Flexible schedule Compensation $20$30/hour, based on expertise and domain experience Weekly payments via Stripe Connect

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionCompany Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description The Role As Design Manager you will lead, coach and support a team of product designers delivering critical user experiences for Visa’s Decision Manager ecosystem — a complex, data‑rich fraud and risk management application used by enterprise customers globally. You will remain hands‑on in design, while also taking responsibility for leading projects, design quality, and delivery outcomes. Responsibilities • Own end‑to‑end design quality across multiple workstreams., • Guide teams through discovery, prototyping, validation and delivery., • Translate ML outputs and risk signals into usable experiences., • Mentor designers., • Facilitate design critiques. Basic Qualifications: • 5 or more years of relevant work experience with a Bachelors 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 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, • Strong senior product design experience in enterprise environments., • Demonstrated experience mentoring or managing designers., • Extensive experience designing web‑based platforms., • Strong proficiency with design tools., • Excellent communication skills., • Advanced UX degree., • Fraud, risk, analytics domain experience., • Qualities, • Calm under pressure, • Pragmatic problem‑solver, • Detail‑oriented, • Collaborative 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 this position is 124,300.00 to 198,600.00 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 Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionCompany Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. 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 40% of the 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, • Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization., • Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem., • Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Visa is not offering relocation assistance for this role. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred 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 Extensive experience in software engineering, including experience in staff+ level roles or equivalent scope. Proven track record of technical leadership across teams and large-scale systems. Expertise in distributed systems design, scalable architecture, and cloud infrastructure. Proficient in object-oriented programming (preferably Java), and experienced in system-level thinking. Experience driving design reviews, architectural guidance, and technical decision-making. Strong background in test automation, continuous integration, and system monitoring. Comfortable operating in a modern DevOps environment, with production ownership responsibilities. The Skills You Bring: 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#, 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 We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa. 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 this position is 143,700.00 to 230,200.00 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. Visa is not offering relocation assistance for this role.

Currently pursuing a Bachelor's degree in engineering, business, or construction management from an accredited institution. If you are ready to ignite your sales engineering career and become part of a dynamic team shaping the future of the HVAC industry, apply today! Join the Hoffman Family of Comp

Actively enrolled in an accredited Geotechnical Engineering, Civil Engineering, Geological Engineering, Environmental Engineering, or related, Master's Degree or PhD program with an anticipated graduation date of August 2026 or later. Actively enrolled in an accredited Geotechnical Engineering, Civi

Our dedicated team members are engineering the foundation of Cisco's core technologies across the globe, including teams in Engineering like Common Hardware Group, Network Product Eng, Infrastructure & Security.

Candidates must be a junior or senior pursuing an undergraduate or graduate degree in Industrial Engineering, Packaging Engineering, and/or Supply Chain Operations. Knowledge of Industrial Engineering, Packaging Engineering, and/or Supply Chain Operations related discipline. Industrial Engineering,

Hands-on experience with AWS cloud services, AI/ML platforms, and modern engineering practices. Job Title: AI & Cloud Engineering Intern. Job Title: AI & Cloud Engineering Intern.

Pursuing a degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field. Strong understanding of engineering first principles. Collaborate with engineering teams to test, validate, and refine mission system interfaces and integrations.

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Hermeus is seeking talented students with experience in software engineering to join our Ground & Communications Systems Software Team in Atlanta. Strong understanding of engineering first principles.

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