Intern Test Solutions Engineer Jobs

You’ve invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you’ll be immersed in a culture of continuous improvement, with the goal of changing health care for the better. Position Summary: Health is everything. At CVS Health, colleagues are committed to increasing access, lowering costs, and improving quality of care. Millions of times a day, we help people on their path to better health –from advising on prescriptions to helping manage chronic and specialty conditions. As a 3rd year pharmacy intern, you have a significant role in our company working as a part of the pharmacy team– delivering our purpose, modeling our values, and demonstrating genuine, authentic care for our patients. While working as a 3rd year pharmacy intern, under the direct supervision of a licensed pharmacist, you play a critical role in ensuring a safe and effective Retail Pharmacy work environment that delivers exceptional care to each patient. This includes but is not limited to: Patient Safety Pharmacy Professional Practice Regulatory Requirements Quality Assurance Customer Service Inventory Management Workflow Management excluding final prescription verification Primary Roles and Responsibility: A key component of the pharmacy intern role is keeping your customers and patients healthy through adoption and management of patient care programs. Additionally, you will: Lead with Heart – display empathy and compassion for your patients, customers, caregivers, and colleagues on your team Seek new ways to grow, collaborate with others, and deliver better outcomes Align others around our purpose to bring your heart to

You’ve invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you’ll be immersed in a culture of continuous improvement, with the goal of changing health care for the better. Position Summary: Health is everything. At CVS Health, colleagues are committed to increasing access, lowering costs, and improving quality of care. Millions of times a day, we help people on their path to better health –from advising on prescriptions to helping manage chronic and specialty conditions. As a 3rd year pharmacy intern, you have a significant role in our company working as a part of the pharmacy team– delivering our purpose, modeling our values, and demonstrating genuine, authentic care for our patients. While working as a 3rd year pharmacy intern, under the direct supervision of a licensed pharmacist, you play a critical role in ensuring a safe and effective Retail Pharmacy work environment that delivers exceptional care to each patient. This includes but is not limited to: Patient Safety Pharmacy Professional Practice Regulatory Requirements Quality Assurance Customer Service Inventory Management Workflow Management excluding final prescription verification Primary Roles and Responsibility: A key component of the pharmacy intern role is keeping your customers and patients healthy through adoption and management of patient care programs. Additionally, you will: Lead with Heart – display empathy and compassion for your patients, customers, caregivers, and colleagues on your team Seek new ways to grow, collaborate with others, and deliver better outcomes Align others around our purpose to bring your heart to

About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, develo

About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, develo

Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) ​​ FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m

Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) ​​ FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK , one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK’s Product Suite: CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies. CloudSEK’s AIVigil is an AI-native Attack Surface Monitoring platform that continuously discovers, monitors, and secures exposed AI infrastructure, MCP servers, leaked AI credentials, vector databases, agentic workflows, and shadow AI across the internet. Key Milestones: 2016 : Launched our first product. 2018 : Secured Pre-series A funding. 2019 : Expanded operations to India, Southeast Asia, and the Americas. 2020 : Won the NASSCOM-DSCI Excellence Award for Security Product Company

You’ve invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you’ll be immersed in a culture of continuous improvement, with the goal of changing health care for the better. Position Summary: Health is everything. At CVS Health, colleagues are committed to increasing access, lowering costs, and improving quality of care. Millions of times a day, we help people on their path to better health –from advising on prescriptions to helping manage chronic and specialty conditions. As a 3rd year pharmacy intern, you have a significant role in our company working as a part of the pharmacy team– delivering our purpose, modeling our values, and demonstrating genuine, authentic care for our patients. While working as a 3rd year pharmacy intern, under the direct supervision of a licensed pharmacist, you play a critical role in ensuring a safe and effective Retail Pharmacy work environment that delivers exceptional care to each patient. This includes but is not limited to: Patient Safety Pharmacy Professional Practice Regulatory Requirements Quality Assurance Customer Service Inventory Management Workflow Management excluding final prescription verification Primary Roles and Responsibility: A key component of the pharmacy intern role is keeping your customers and patients healthy through adoption and management of patient care programs. Additionally, you will: Lead with Heart – display empathy and compassion for your patients, customers, caregivers, and colleagues on your team Seek new ways to grow, collaborate with others, and deliver better outcomes Align others around our purpose to bring your heart to

JOIN OUR TEAM As a Intern Corporate & Employer Branding Communications , you will be an important member of our Corporate Communications team, driving our brand presence across internal and external channels. In this role, you will work closely with various departments to shape our corporate narrative, scale our social presence, and craft engaging content for our audience. We are looking for a creative, proactive storyteller who thrives in a fast-paced e-commerce environment and is eager to take ownership from day one. This position is limited to 6 months and based in Munich . WHAT YOU'LL DO Drive the planning, creation, and reporting of content for our LinkedIn strategy and corporate communication channels Author engaging articles for our corporate website, press releases, and compelling employer branding content Research relevant topics for Corporate Communications and prepare C-level interview and speaking briefs Leverage AI tools and digital automation to enhance storytelling efficiency, research, and social media management Manage key administrative processes, including media clipping, performance reporting, and press distribution lists Support day-to-day operations across Corporate and Employer Branding communications YOU COME WITH Current enrolment or recent graduation in Communications, Marketing, Public Relations, or a related field Initial practical experience in communications, copywriting, or media relations (e.g., writing press releases or articles) Prior experience managing LinkedIn content, ideally within a corporate setting, as a strong plus Proficiency in Microsoft Office (PowerPoint) and digital tools, with a strong curiosity for AI-driven communications Strong prioritisation skills and an independent, hands-on working style Near-native fluency or professional proficiency in German alongside excellent English skills WHY WESTWING If you are looking for a place where ambition meets creativity, where ideas turn into impact fast, and where people are t

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 . This is a 12-week internship during summer 2027. As a Sales, Trading, and Prime (STP) Intern, you'll join the Institutional team and rotate through Sales, Account Management, Execution Services, Financing, Solutions Architecture, and Research. This team engages with the world's most sophisticated institutions to introduce new products, provide market color, devise financing solutions, and deliver client feedback that informs product development. You'll come away with a unique understanding of our clients' needs and how Coinbase builds relationships and trust through outstanding service and product capabilities. What you'll do: Rotate across 2 STP functions such as Sales, Account Management, Execution Services, Financing, Solutions Architecture, and Research to build a comprehensive view of institutional client needs Analyze data for trends and opportunities, producing competitor analysis and market commentary that inform client engagement strategies Create pitchbooks and outreach materials for client presentations and high-value prospect engagement Triage and follow up with inbound leads to qualify sales opportunities, tracking progress across product campaigns Research and propose process improvements that grow and strengthen the STP business Required Skills and Experience: Currently in your junior year of an undergraduate program (rising senior in summer 2027) with

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 . This is a 12-week internship during summer 2027. As an intern on the Policy team, you'll get hands-on exposure to how Coinbase shapes crypto policy in Washington and beyond. Depending on where the team needs support, you may spend the summer on more outward-facing, community engagement work, or on more technical, research-driven policy analysis — sometimes a mix of both. The strongest candidates genuinely care about digital assets policy, work well with others, and can flex between hands-on advocacy work and detailed technical analysis depending on what the team needs that week. What you'll do: Support a mix of policy workstreams, from advocacy, community engagement, and stakeholder outreach to technical research, regulatory analysis, and briefing materials Draft policy materials such as talking points, white papers, social media posts, presentation decks, and short and long-form articles for external audiences Conduct research on legislative, regulatory, and policy developments and synthesize findings into actionable briefs for the Policy team Provide operational support on key deliverables including drafting, proofreading, data compilation, and project coordination Required Skills and Experience: A collaborative team player who can flex between grassroots/community-facing work and more technical, substantive research depending on team needs Comfortable operating in

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 . This is a 12-week internship during summer 2027. As an Accounting Intern, you'll join the Accounting team within Finance and get hands-on experience across a wide range of accounting operations. You'll collaborate with teams like Tax, FP&A, Treasury, and Source-to-Pay to support day-to-day processes, month/quarter-end close, and accounting transformation projects. You'll contribute real work from balance sheet reconciliations to system implementations, gaining exposure across multiple accounting functions and international stakeholders. What you'll do: Prepare assigned balance sheet reconciliations, journal entries, and supporting schedules for month-end close cycles with guidance and review from Accounting team members Collaborate across Global GL Operations, Revenue Accounting, Digital Asset Inventory Accounting, and Capital Markets/Prime Financing Accounting, working with US and international stakeholders Contribute to critical accounting projects such as new system logic implementations, process enhancements, or product launches Support internal and external audits by preparing documentation, including non-US subsidiary statutory financial statements Maintain process documentation and ensure adherence to internal controls, policies, and procedures throughout all assigned workstreams Required Skills and Experience: Currently pursuing a BA/BS degree in Accounti

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. Do you get excited about using analysis to answer business questions and technology to solve problems? As a fintech intern, you’ll learn how financial processes, data and technology work together to support Gallup’s business. If you’re a curious problem-solver who asks thoughtful questions, takes initiative and is eager to dive into new challenges, you’ll thrive on this team. You’ll develop your skills while contributing to meaningful projects alongside associates with deep business and technical expertise. What You’ll Do During your internship, you will: Apply analytical and technical skills to real business challenges involving financial processes, data and enterprise systems Use SQL and other tools to analyze data, support reporting needs, and help investigate and solve business problems Support projects involving business process analysis, requirements gathering, data mapping and other technical solutions Collaborate with finance, technology and other partners to understand business needs and help develop practical solutions Learn Gallup’s Oracle environment and develop an understanding of the systems and processes that support areas such as revenue management, contract management and reporting Take ownership of project work by asking questions, seeking information and proactively working through problems with support from experienced teammates What You Need Enrollment in a bachelor’s or graduate degree program in fintech, business, business analytics, data analytics, computer science, MIS, engineering or a related field required Classroom or work experience with SQL preferred Classroom or work experience in financial, business or data analytics preferred Familiarity with Oracle software preferred Enrollment at a college or university within a 250-mile radius of Omaha, Nebraska, required Anticipated graduation between August 2027 and