company

PhD Residency - Network Security, Privacy, and AI/ML

SandboxAQ
Remote USA
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SandboxAQ is solving challenging problems with AI + Quantum for positive impact. We partner with global leaders in government, academia, and the private sector to identify applications that would benefit from quantum-based applications to current and future commercial challenges. We engage with customers early and throughout the development process to improve market fit.

Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough AI + Quantum solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar.

We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM.

Machine Learning meets Privacy 

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, especially Privacy-Enhancing Technologies (PET) and its applications to network 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 network applications
  • Work closely with engineers to integrate research outcomes into the product portfolio
  • Collaborate implementations of innovative PET constructions and/or protocols

Minimum Qualifications

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

Preferred Qualifications

  • Experience contributing to open source projects
  • Experience with ML applied to Privacy, Network Security 
  • Familiarity with Networking and Cryptography
  • Familiarity with PET: differential privacy, zero-knowledge proofs, multi-party computation, or similar privacy techniques. 

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. **Non-PhD post-graduate students may be considered on a case-by-case basis (e.g., Masters)
    • Proficiency with at least one programming language (Python, C/C++, Matlab, etc.)
  • For questions, email [email protected]

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 welcomes all.

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in quantum technology.

 

We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. 

 

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

company PhD Residency - Network Security, Privacy, and AI/ML
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