Advance Practice Provider Np Pa in United States

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II Overview Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. The Fraud Products team (part of O&T) is developing new capabilities for MasterCard's Decision Management Platform, which serves as the core for multiple business solutions to combat fraud and validate cardholder identity. Our patented Java-based platform processes billions of transactions per month in tens of milliseconds using a multi-tiered, message-oriented approach for high performance and availability. MasterCard software engineering teams leverage Agile development principles, advanced development, design and test automation practices, and an obsession over security, reliability, and perfo

Work Flexibility: Field-based Overview As a Clinical Specialist at Stryker, you will help improve orthopedic surgeries around the world and play a direct role in our mission of making healthcare better. In this role, you will build deep clinical and technical expertise across both robotic (Mako SmartRobotics™) and manual orthopedic procedures. You will support surgeons in the operating room by assisting with pre-operative planning, case preparation, system setup, and real-time procedural workflows to ensure safe, accurate, and efficient outcomes. You will gain hands-on experience working with Mako technology—including CT-based planning, implant sizing, registration, and intra-operative support—while also developing strong competency in manual procedures, instrumentation, and OR protocols. Through shadowing experienced team members, supporting product demonstrations, and participating in labs and education programs, you will learn the systems, processes, and best practices that define world-class clinical support. This role requires adaptability, steady composure, and strong problem-solving in a fast-paced surgical environment. Because patients’ needs don’t follow business hours, you will also participate in on-call coverage, including evenings, weekends, and holidays, to ensure uninterrupted support for urgent cases and time-sensitive customer needs. What You Will Do Gain competency in solo case coverage for manual and robotic procedures through hands-on training. Assist surgeons with pre-operative CT-based planning, implant sizing, and positioning using advanced software. Support full case preparation, including instrumentation checks, equipment setup, and OR readiness. Troubleshoot technical issues confidently and efficiently in the operating room. Learn and support workflow for daily account

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox’s database team develops the next-generation, multi-tenant database platform that elastically scales and underpins every online data workload at Roblox. As a principal engineer on the database team, you will shape the architecture, build and launch critical database capabilities that keep our services fast, reliable and efficient at global scale. You will report to the Technical Director for Storage. You will: Design and implement new engine features —indexing, storage formats, WAL and replication protocols, sharding, and query-planner enhancements—that push latency, throughput, and availability boundaries. Evolve the control plane to deliver elastic scaling, autonomous healing, and zero-downtime schema or tenant moves across global regions. Profile and optimize critical code paths using kernel-level tracing and advanced performance tooling; drive systematic tail-latency reductions. Establish engineering best practices by leading design reviews, performance benchmarks, failure drills, and post-incident retrospectives. Automate everything : develop frameworks for testing, CI/CD, rollout safety, observability, and autoscaling so that the platform operates hands-off at scale. Ment

We're looking for a Staff Engineer to join the Logs organization at Datadog and help redefine how our customers ingest, query, and derive insights from logs data. In this role, you’ll work closely with Product Managers and customers to drive complex initiatives across ingestion pipelines, search infrastructure, and intelligent log management capabilities - all while pushing the boundaries of what’s possible with AI and distributed systems. You’ll have the opportunity to lead efforts that shape the future of log management. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with Product Managers to define ambiguous product requirements and determine the most impactful solutions for customers Lead technical strategy and execution and design systems surrounding log query performance and ingestion at scale. Explore and prototype new capabilities and collaborate with peers on initiatives spanning AI-powered log management, security and business operations, advanced query capabilities, and external data sources query capabilities. Mentor engineers across levels and contribute to growing a high-performing, collaborative team culture Who You Are: You have deep experience architecting and scaling backend systems, with a strong focus on data-intensive or distributed infrastructure You excel in ambiguous environments, demonstrating a mix of drive, curiosity and pragmatic decision-making You’ve partnered effectively with Product Managers and customers to define product direction and ship impactful features You have expertise in debugging complex systems and optimizing performance across real-time data pipelines You have experience in using AI agents tools in your day-to-day engineering practices You lead by example and enjoy helping others grow through m

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the Role We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI’s core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company. You’ll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems. You’ll also help translate advanced statistical concepts into pragmatic systems and product experiences that teams can actually use. This is a highly technical individual contributor role with significant influence across methodology, platform architecture, and experimentation best practices. The ideal candidate combines deep statistical expertise with strong systems intuition and hands-on experience building or operating experimentation platforms at scale. In this role, you will: Drive the statistical direction and technical strategy for OpenAI’s experimentation platform Design and improve experimentation methodolo

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: Are you a skilled Pharmacy Technician looking to advance your career? Looking to change into a closed-door pharmacy setting and gain new skillsets? Join our Omnicare closed-door pharmacy team as an Advanced Pharmacy Technician- and find a career that rewards you. Day In The Life: As an Advanced Pharmacy Technician, you will work to ensure all medication needs and regulatory compliance are met for our patients while working in various pharmacy workstations. Our back-end team focuses on order fulfillment including packaging and dispensing of medication, reviewing delivery orders and bins for accuracy, and coordinating stock rotations. Additional tasks and responsibilities include: Partnering with function supervisor to coordinate workflow for assigned areas that prepare and process medications Rotating and working in various assigned pharmacy workstations including Packaging, Staging, Returns, Receiving, Narcotics, IV, Ekit, Compounding, Omnicell Cycle Fill, Machine Packaging Receiving product deliveries, pull and stage product for distribution, rotate stock, and coordinate activities with drivers to ensure shipments are accurate and deliveries are timely Performing physical inventories of medication The Team: Omnicare, a CVS Health Company, provides care to those in skilled nursi

About the Team OpenAI is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team owns the upstream diligence and development work required to convert powered-land opportunities into executable infrastructure options. About the Role The Site Selection Lead sets the site-selection strategy for powered-land and greenfield/brownfield opportunities. This role defines, with cross-functional partners, what makes a site attractive, executable, and scalable, then turns that shared rubric into portfolio choices and deployment plans. Key Responsibilities Own the site-selection strategy across priority geographies, including market maps, pipeline segmentation, source refreshes, live-location tracking, and portfolio prioritization. Convene Power, Land, Development, Engineering, Construction, Environmental, Community, Commercial, Legal, and Finance partners to define the shared rubric for a high-quality site. Translate that rubric into clear screening criteria across power readiness, land control, timing, scale, cost, community risk, environmental constraints, AHJ path, budget, schedule, and counterparty credibility. Orchestrate Commercial, Legal, Finance, Power, and Development teams to shape exclusivity, initial terms, site-control strategy, funding assumptions, and the path to deployment before deeper commitment. Build a deployment plan for top candidates that identifies capacity, sequencing, capital implications, critical-path approvals, risks, owners, and stage-gate decisions. Lead conceptual site planning and test-fit screening using boundaries, map layers, buildings, substations, roads, parking, laydown, stormwater, utility corridors, acreage, and estimated load. Maintain a single decision-support view of pipeline stage, site health, power readiness, finance review, maps, project evidence, outstanding source data, owners, deadlines, and escalations. Present executive-ready advance, defer, or stop recommendations with clear

We’re looking for a strategic operator to help advance OpenAI’s life sciences capabilities and translate them into meaningful scientific and commercial impact. Working closely with research teams and external partners, you’ll identify opportunities to improve AI models, products, and supporting infrastructure, and lead partnerships and strategic initiatives that bring these capabilities into real scientific workflows. This role combines partnership development, strategic judgment, and hands-on execution. You’ll help determine where OpenAI can make the greatest contribution, identify the expertise and resources needed, and bring together the right partners to move from an idea to demonstrated impact. In this role, you will: Shape capability priorities. Work with research and cross-functional teams to identify and prioritize new life sciences capabilities, balancing scientific value, technical feasibility, and commercial potential. Build and execute partnerships. Develop data, research, and commercial partnerships with biotechnology companies, pharmaceutical organizations, and other participants in the life sciences ecosystem. Translate capabilities into real-world applications. Partner with external organizations to apply OpenAI’s technology in scientific workflows, evaluate its usefulness, and use those learnings to inform further development. Structure effective collaborations. Work with legal, finance, research, and other teams to define partnership scope, align incentives, and navigate data access, intellectual property, commercial terms, and governance. Lead strategic initiatives. Identify and own projects that advance scientific capabilities and create long-term value for OpenAI, including licensing, joint development, and new applications of AI. Drive operational execution. Establish clear objectives, milestones, and ownership; coordinate resources; and resolve obstacles across internal teams and external partners. Expand access to expertise. Identify gaps in

About the Team OpenAI’s Legal team helps advance our mission by tackling novel legal issues in AI. Our team brings together professionals across technology, privacy, intellectual property, corporate, employment, tax, regulatory, and litigation. Our regulatory compliance work turns legal requirements into practical programs that support responsible AI development and deployment. About the Role As a Legal Program Manager focused on regulatory compliance, you will build and manage cross-functional programs that translate counsel’s guidance into practical, sustainable operations. Your initial focus may include content moderation and/or frontier AI governance, with the mix shaped by team priorities and your strengths. You will partner with internal and external counsel, other legal program managers, and technical and business teams to coordinate implementation, evidence collection, reporting, and ongoing compliance. You’ll build repeatable systems that scale across regulations, products, and jurisdictions, helping teams navigate emerging requirements with clarity and sound judgment. This full-time role is based in San Francisco, CA, or New York, NY. In this role, you will: Lead regulatory compliance programs end to end: define scope, owners, milestones, dependencies, risks, and escalation paths, and drive execution with counsel and cross-functional partners. Translate counsel’s regulatory guidance into repeatable workflows, controls, and documentation. Depending on your portfolio, this may include content moderation disclosures, transparency reporting, reporting and appeals workflows, or frontier AI model launch readiness, evaluation and risk-management evidence, and incident reporting. Build strong partnerships across Product, Engineering, User Operations, Governance, Risk and Compliance (GRC), Global Affairs, Communications, and Go-to-Market to align program priorities and deliverables. Support regulatory inquiries, audits and investigations with counsel, organizing ev

About the Team The Safety Training research team aims to fundamentally advance our capabilities for precisely implementing safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to train nuanced safety behaviors, how to make the model robust to bad actors, how to address privacy and security risks, and how to make the model trustworthy in safety-critical situations. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role We’re seeking a researcher to train and evaluate models for U.S. government use, with a focus on national security applications. You’ll advance safety post-training and robustness, helping models follow nuanced policies while preserving their usefulness and capabilities. In this role, you will: Research and implement methods for safety training, reinforcement learning, and adversarial robustness. Develop evaluations, identify model failure modes, and use findings to improve training. Work with research, engineering, security, and policy partners to support safe, reliable deployment. You might thrive in this role if you: Bring 4+ years of relevant AI safety research experience, including RLHF, adversarial training, or robustness. Have a degree in computer science, machine learning, or a related field, and strong deep learning research or engineering skills. Have experience improving model safety for deployment and enjoy collaborative research. Are motivated by OpenAI’s mission and the responsible use of AI in safety-critical settings. Security Requirements Active TS/SCI clearance or equivalent. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefi

Datadog is looking for a Social Media Manager to advance our social media program. This role sits at the intersection of content creation, strategy, and corporate communications — owning the day-to-day execution of Datadog's social presence while helping shape how social supports our broader comms and marketing mission. You'll report to our Senior Group Manager of Corporate Communications, while working in close partnership with the Senior Social Media Manager and the rest of the Corporate Communications team. This is a role for someone who is equal parts creative and analytical: you can write a scroll-stopping post and explain exactly why it worked. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage the content calendar and day-to-day execution across social channels, including Instagram, LinkedIn, and X. Develop and execute social communication plans for product announcements, launches, global events, and other key company initiatives in partnership with communications, marketing, and cross-functional teams. Create and manage social content and programs that showcase Datadog, including employee advocacy initiatives, internal and external newsletters, and content supporting sponsored and Datadog-hosted events. Monitor social channels and engage with relevant conversations, identifying cultural moments and routing mentions that require broader support to the appropriate internal teams. Analyze social performance and translate results into actionable insights and reporting for executives and cross-functional stakeholders. Partner with the Senior Social Media Manager and larger Corporate Communications team to continually refine Datadog’s social strategy, processes, and approach to audience engagement. Who You Are: You have 4–6 years of experience in s

About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied research on how AI affects learning and cognitive outcomes. The team owns owns ChatGPT Edu, ChatGPT for Teachers, and related product/research work. The team partners closely with go-to-market, research, Consumer Learning, and model teams to turn education-specific insights into product experiences that can improve ChatGPT more broadly. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the Role We’re looking for a hands-on Tech Lead Manager to lead and manage a team of senior full-stack engineers building AI-native learning experiences in ChatGPT. This person will combine technical execution, product judgment, and people leadership: they will write and ship code, manage engineers, and help shape the product direction for how students and Educators use AI. In This Role, You Will Lead and manage a team of three senior full-stack engineers. Build product experiences for ChatGPT Education, ChatGPT for Teachers, and AI-native learning workflows. Partner with research teams on field studies, randomized control trials, classifiers, data pipelines, and cognitive-outcome measurement. Collaborate with Consumer Learning and model teams to translate education insights into broader ChatGPT behavior and product improvements. Drive execution across product, engineering, research, go-to-market, and partner teams. Help define product strategy, priorities, and delivery plans for a new product pod. You Might Thrive In This Role If You Have several years of direct people-management experience with engineers. Are still highly technical and comfortable doing IC engineering work. Have strong pr

About the Team OpenAI’s Research Program Management team partners with researchers and engineers to advance the development of increasingly capable, safe, and beneficial AI systems. We work alongside teams developing our core models, helping turn ambitious research goals into coordinated execution across model training, alignment and safety, and research infrastructure. The team also regularly collaborates with our closest cross-functional partners such as Security, Applied product and engineering, Strategy, and Scaling. About the Role As a Research Program Manager, you will embed with research teams and help drive some of the most technically complex and consequential work behind OpenAI’s model development. Depending on your focus, your work may span training, reasoning, evaluations, compute, research infrastructure, safety, model launch readiness, and governance. You will translate evolving research priorities into actionable programs, help teams navigate technical and operational tradeoffs, and keep important work moving as new issues emerge. This is a hands-on technical role: you will engage directly with research workflows, experimental results, technical systems, and engineering constraints; not simply coordinate from the sidelines. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Have 5+ years of experience in research program management, technical program management, or related roles in fast-moving environments. Can engage substantively with researchers and engineers on topics such as model training, experimental design, model safety, evaluation methods, data workflows, compute infrastructure, or distributed systems. Are comfortable working directly with technical tools, research data, experimental results, or operational workflows to understand problems and develop practical solutions. Have a strong track record of movi