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Residencies at SandboxAQ

If you’re a graduate student in STEM ready to bring the new AI + Quantum era to the world, consider joining our residency program at SandboxAQ.

We are currently looking for students in a wide variety 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 ML team in Quantum Security is focused on bringing cutting-edge techniques from multiple disciplines to bear on high-impact problems. We engage in deep research while maintaining close contact with the needs of the customers. As a resident, you will take ownership of a project to advance the way ML is used in the quantum security world. 

We are looking for an AI Resident with strong interest in cybersecurity and its applications to large-scale data. Experience with post-quantum cryptography and cryptographic protocols will be considered a plus. 

The successful candidate will be part of a diverse team consisting of cryptographers, mathematicians, ML experts, and physicists, and will play a key role in efficient and effective enablement of the technologies being developed. 

Core Responsibilities

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

Minimum Qualifications

• Experience with rapid prototyping to deploy ML models in Python
• Familiarity with common ML tools (TensorFlow, Keras, PyTorch, etc.)
• Familiarity with the latest developments in machine learning & privacy 

Preferred Qualifications

• Previous experience as software engineer in the industry
• Exposure to applied ML in the Cybersecurity / 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 PhD program in math, computer science, or related field.
    • **Currently enrolled non-PhD post-graduate students may be considered on a case-by-case basis (e.g. currently enrolled in Masters)
  • Proficiency with at least one programming language (Python, C/C++, Matlab, etc.)
• For questions, email residency@sandboxaq.com

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!

The US base salary range for this full-time position is expected to be $100k - $115k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.