Join the AI + Quantum Era with SandboxAQ

SandboxAQ is pioneering groundbreaking solutions with AI and Quantum technologies to create a positive impact. We collaborate with global leaders in government, academia, and the private sector to develop quantum-based applications aimed at solving present and future commercial challenges. Our engagement with customers spans the entire development process to ensure optimal market fit.

Innovative Collaboration Across Multiple Disciplines

Our unique methodology promotes cross-pollination across diverse fields such as physics, computer science, neuroscience, mathematics, cryptography, natural sciences, and more. We believe in fostering an environment where experimental thinking and collaboration lead to breakthrough AI and Quantum solutions. Join us and be part of a culture that values thought leadership, diversity, employee engagement, and technological impact to revolutionize the tech world.

Commitment to Education and Talent Development

We are dedicated to advancing quantum solutions and computing initiatives through education. Our investment in future talent includes internship programs, research papers, developer tools, textbooks, educational talks/events, and partnerships with universities and talent hubs. Our goal is to inspire people from diverse backgrounds to prepare for the quantum era and encourage careers in STEM fields.

Residency Opportunities at SandboxAQ

If you’re a graduate student in STEM eager to usher in the new AI + Quantum era, consider joining our residency program at SandboxAQ. We are seeking students from a wide range of STEM fields—physics, computer science, AI, neuroscience, chemistry, cryptography, mathematics/statistics, biomedical engineering, aerospace engineering, geophysics, and more—to join our world-class team of engineers, scientists, and technologists.

Machine Learning Meets Cybersecurity

Our Machine Learning team in Quantum Security focuses on applying cutting-edge techniques from multiple disciplines to address high-impact problems. We engage in deep research while maintaining close contact with customer needs. As a resident, you’ll take ownership of a project aimed at advancing the role of ML in the quantum security realm.

Key Responsibilities

• Research and design ML algorithms with a focus on cybersecurity applications.
• Collaborate closely with engineers to integrate research outcomes into our product portfolio.
• Analyze large-scale security data including network traces, filesystems, and logs/event data.

Minimum Qualifications

• Experience with rapid prototyping and deploying ML models in Python.
• Familiarity with common ML tools (TensorFlow, Keras, PyTorch, etc.).
• Knowledge of the latest developments in machine learning and privacy.

Preferred Qualifications

• Previous experience as a software engineer in the industry.
• Exposure to applied ML in cybersecurity or networking domains.
• Experience contributing to open-source projects.
• Familiarity with unsupervised learning methods.

Details

• Location: Remote
• Start Date: Year-round, on a rolling basis
• Duration: Flexible, typically between 4 months to one year

Eligibility

• Currently enrolled in a Ph.D. program in mathematics, computer science, or a related field.
• Non-Ph.D. post-graduate students may be considered on a case-by-case basis (e.g., currently enrolled in a Masters program).
• Proficiency with at least one programming language (Python, C/C++, Matlab, etc.).

For questions, email

What to Expect

• Work on a technical project with scientists and engineers on one of our core teams.
• Engagement with fellow residents.
• Competitive compensation.
• Present findings to the rest of SandboxAQ.
• Have fun!

SandboxAQ is committed to fostering an inclusive culture where discrimination is not tolerated. We invest in our employees' personal and professional growth. Once you work with us, the experience is transformative because great breakthroughs come from great teams, and