Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program ...
New
Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program ...
New
Phd Research Intern information
What is a PhD Research Intern?
A PhD Research Intern is a graduate student, typically enrolled in a doctoral program, who temporarily joins a research organization, university lab, or company to work on specialized research projects. These internships allow students to apply their academic knowledge to real-world problems, gain hands-on experience, and collaborate with experienced researchers. PhD Research Interns often contribute to publications, presentations, and innovative solutions within their field, while also expanding their professional network and career opportunities. Internships can vary in length and may be paid or unpaid, depending on the institution and funding.
What are the key skills and qualifications needed to thrive as a PhD Research Intern, and why are they important?
To thrive as a PhD Research Intern, you need advanced research skills, strong analytical abilities, and enrollment in a relevant doctoral program. Familiarity with data analysis tools (such as Python, R, or MATLAB), academic databases, and possibly experience with laboratory or computational systems is often required. Critical thinking, effective communication, and collaboration are important soft skills that help interns excel in team-based and independent research settings. These skills and qualifications ensure successful contribution to ongoing projects, efficient problem-solving, and impactful dissemination of research findings.
What are some common challenges faced by PhD Research Interns, and how can they be addressed?
PhD Research Interns often encounter challenges such as adjusting to new research environments, managing time effectively between internship tasks and ongoing academic commitments, and navigating complex, interdisciplinary projects. Adapting quickly to a new team and understanding the expectations of academic or industry mentors can also be demanding. To address these, interns should proactively communicate with supervisors, set clear goals, seek feedback regularly, and collaborate closely with team members to leverage their expertise and resources.
What is the difference between Phd Research Intern vs Research Scientist?
| Aspect | Phd Research Intern | Research Scientist |
|---|---|---|
| Required Credentials | PhD candidate or recent PhD graduate | Typically PhD holder with several years of experience |
| Work Environment | Academic labs, research institutions, or corporate R&D | Industry labs, corporate R&D departments, or academic settings |
| Employer & Industry Usage | Universities, research institutes, tech companies | Tech firms, pharmaceutical companies, research organizations |
| Common Search & Comparison | Yes | Yes |
The main difference between a Phd Research Intern and a Research Scientist lies in experience and responsibilities. Phd Research Interns are typically pursuing or have recently completed their PhD and focus on gaining research experience, often in academic or corporate labs. Research Scientists usually have more experience, hold a PhD, and lead research projects within industry or research organizations. Both roles involve research activities, but the level of independence and scope of work differ significantly.
Can you do an internship as a PhD research intern?
Yes, PhD research interns typically participate in internships to gain practical experience in their field, often working on research projects under supervision. These internships can be part-time or full-time and may require relevant skills, academic progress, or specific research tools. They are common in academic, government, and industry research environments.
What are the most commonly searched types of Phd Research jobs in Delaware?
The most popular types of Phd Research jobs in Delaware are:
What are popular job titles related to Phd Research Intern jobs in Delaware?
For Phd Research Intern jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Phd Research Intern jobs in Delaware look for?
The top searched job categories for Phd Research Intern jobs in Delaware are:
What cities in Delaware are hiring for Phd Research Intern jobs?
Cities in Delaware with the most Phd Research Intern job openings:
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Remote
Internship
Posted 2 days ago
New
Block rating
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Job description
Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the co-op)
About Apollo
Apollo leads Block's efforts to build the Customer World Model (CWM) : a continuously evolving representation of each customer's goals, context, history, constraints, and likely future needs.
The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what matters, anticipates what comes next, and initiates actions on their behalf.
We believe the next generation of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that enable systems to reason over a customer's evolving state, make better decisions, and learn continuously from outcomes. Apollo designs, prototypes, and guides the development of this intelligence layer.
About the role
We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence.
This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers.
You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time.
Past interns have shipped production systems within months and published their work in the same year.
What you'll work on
Depending on your interests and Apollo's roadmap, you'll focus on one or more of the following areas:
Customer World Models
Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data.
Examples include:
- Representation learning over long-horizon customer histories
- Event-based foundation models
- Multi-modal customer representations spanning structured, sequential, and graph data
- Memory architectures for long-term customer understanding
Proactive Intelligence
Developing systems that can anticipate customer needs and initiate helpful actions before being asked.
Examples include:
- Opportunity detection and next-best-action systems
- Long-horizon planning and decision-making
- Preference and goal inference
- Learning when intervention creates value versus friction
Agentic Decision Systems
Building agents that reason over customer world models and take actions in real environments.
Examples include:
- Tool use and planning
- Multi-step reasoning over customer state
- Autonomous workflow execution
- Recovery and adaptation under uncertainty
Learning from Feedback Loops
Developing methods that allow intelligence to improve continuously from real-world outcomes.
Examples include:
- Reinforcement learning from customer and product feedback
- Reward modeling and preference learning
- Counterfactual evaluation
- Credit assignment over long decision horizons
Evaluation and Measurement
Building evaluation frameworks that predict real-world performance, trust, and customer value.
Examples include:
- Simulated customer environments
- Longitudinal evaluation
- Decision quality metrics
- Safety and reliability benchmarks
What we're looking for
We're looking for researchers interested in building systems that understand people, learn from experience, and improve over time.
Required
- Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.
- Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models.
- Experience conducting independent research and translating ideas into working systems.
- Fluency in Python and experience with PyTorch, JAX, or similar frameworks.
- Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work.
Nice to have
- Experience with large language models and agentic systems.
- Experience with reinforcement learning, reward modeling, or sequential decision-making.
- Experience with representation learning for structured, temporal, or graph data.
- Familiarity with large-scale training and production ML systems.
- Interest in building AI systems that directly affect customer outcomes.
What you'll get
- Direct mentorship from researchers working on the future of proactive intelligence at Block.
- Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources.
- Opportunities to publish and contribute to open-source projects.
- A chance to shape foundational technology that could power the next generation of Block products.
- Exposure to both scientific research and product deployment, with a clear path from idea to impact.
Application Guidelines
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
Use of AI in Our Hiring Process
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact us here with hiring practice or data usage questions.
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.