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Advance Practice Provider Np Pa Jobs

2,127 active opportunities · Updated for October 2026

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C
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help. What you'll do: Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. Establish best practices for system design, coding standards, and AI/ML development workflows across the team. Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. Co

REMOTEpythonawsmachine learning
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L
Lyft
📍 Toronto• Full-time• From C$108K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Frontend Software Engineer on the Operator Core Tooling pod, you'll play a vital role in building the robust services that power our critical operations tooling platform. Your work will directly empower our micromobility operations teams by providing them with intuitive and efficient tools, significantly improving their daily workflows as they manage our fleet. You'll collaborate closely with business leaders, front-end developers, and data scientists across Lyft to achieve this impact. Responsibilities: Help define the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices See the direct impact of your work on the efficiency of our operating teams Experience: 3+ years of software engineering industry Advanced knowledge of JavaScript Experience working with modern JavaScript frameworks, like React Experience working with NodeJS and Express applications Experience working with design systems (e.g. Bootstrap, Salesforce Lightning, GitHub Primer) Good understanding of web performance and how browsers and DOM work Experience with unit, integration, and end-to-end testing Experience designing, building and improving a set of team owned components Culture of investigating and solvin

javascriptjavareact
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O
OpenAI
📍 Seattle• Full-time• $293K – $325K/yr
1mo ago

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

pythonvueaws
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

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

awsrestmachine learning
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

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

awsrestmachine learning
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PE
Private Employer
📍 Bangalore, Karnataka• Full-time
1mo ago

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview:- The Campaign Operations Lead will own campaign delivery, performance optimization, and team excellence for managed service advertisers. This role demands high aptitude, strong analytical depth, and hands-on AdTech expertise, with the ability to connect platform mechanics, measurement, and business outcomes. You will lead a team that operates at the intersection of AdTech systems, data analysis, and advertiser execution. Key Responsibilities:- Team Leadership & Analytical Excellence ● Lead, mentor, and develop a team of Campaign Operations Specialists/Managers, setting a high bar for analytical rigor and AdTech understanding. ● Drive structured thinking, hypothesis-driven optimizations, and data-backed decision making. ● Upskill the team on platforms, measurement frameworks, and ecosystem best practices. Campaign Delivery & Performance Ownership ● Own end-to-end delivery across Paytm Ads inventory (Search, Display, Native, Post-Transaction, Video) and the Programmatic ecosystem ● Ensure zero-defect launches, accurate targeting, bidding, tracking, pacing, and reporting. ● Act as final escalation owner for complex delivery, measurement, or performance issues. Advanced Optimization & Insights ● Conduct deep-dive analysis on performance drivers across inventory, creatives, bids, audiences, and funnels. ● Apply advanced optimization frameworks to improve CTR, CVR, CPA, and ROAS. ● Translate learnings into repeatable playbooks and SOPs. AdTech, Measurement & Platform Collaboration ● Partner closely with Product and Tech teams to debug and improve auction mechanics, pacing logic, a

sqlgitai
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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

customer service
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Job Details: Job Description: The Role and Impact: We are seeking a Manufacturing Quality and Reliability Engineer to join the Foundry QnR team at our Penang site, supporting Intel's advanced packaging programs (EMIB, Foveros). This role spans silicon processing and wafer-level assembly (WLA) flows, and key interfaces with packaging substrates and 2.5D EMIB technology. You will help ensure that products and processes meet rigorous quality and reliability standards from wafer fabrication through packaging and assembly. The position directly influences manufacturing performance, yield, reliability, and customer satisfaction by driving robust quality control, disciplined excursion management, and continuous process improvement. You will also have the opportunity to represent Quality and Reliability in development forums, Silicon and Advanced Packaging factory operations, and Substrate suppliers. Key Responsibilities Apply Advanced Packaging expertise to assess inline process health, excursion impact, yield risk, defect mechanisms, and downstream packaging implications. Collaborate with cross-functional teams to drive effective root cause analysis, systemic corrective and prevention actions using 8D and related problem-solving methodologies. Partner with fab manufacturing, substrates assembly, test, process engineering, and quality teams to strengthen early excursion detection, process controls, in-line screens, and outgoing quality. Drive quality control improvements devising incoming/ outgoing quality controls, using statistical process control, defect pareto analysis, control plans, audit learnings, and excursion prevention indicators across fab, substrate manufacturing, and assembly manufacturing steps. Support manufacturing excursion management, including MRB facilitation, cont

recruitment
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