Introduction
We are looking for an Applied Science Engineer who can contribute across disciplines in our research system—from mathematical abstractions and computational frameworks (ML / quantum systems) to real-world applications in physical, chemical, or biological domains.
Example direction: applying quantum neural networks to 3D molecular point cloud representations.
This role emphasizes cross-domain technical participation, ensuring that different layers of the research pipeline connect coherently and evolve together.
What We Are Looking For
• Strong interest in end-to-end systems spanning:
o mathematical structures
o computational methods (ML / quantum)
o real-world scientific systems
• Ability to work across multiple layers rather than staying within a single specialization
• Comfortable engaging with both abstract models and applied system representations
• Strong learning ability across disciplines (math, computation, science)
• Willingness to actively participate in technical research and system development
Preferred Alignments
Background:
• Physics, Applied Mathematics, Computer Science, Engineering, Chemistry, or related interdisciplinary fields
• Or candidates with mixed exposure across theory, computation, and applied science
Experience:
• Experience with at least one core area:
o machine learning / AI systems
o quantum computing / quantum information
o scientific modeling or simulation
• Exposure to a second domain (e.g., physics + ML, ML + chemistry, etc.)
• Experience working with research code, modeling pipelines, or technical systems
Nice to Have
• Familiarity with:
o mathematical modeling or structured systems
o quantum many-body or interaction-based representations (conceptual level is sufficient)
o scientific domains such as materials, chemistry, or biology
• Programming experience (Python or similar)
• Experience reading and implementing interdisciplinary research
What You Will Be Doing
1. Technical Participation (Core Responsibility)
You will actively participate in building and evolving the research system across multiple layers.
Cross-Layer Technical Work
• Work across:
o mathematical abstractions (structured models, interaction representations)
o computational implementations (ML models, quantum frameworks)
o applied system mappings (materials, chemistry, biology)
________________________________________
System Integration
• Connect:
o theoretical models ↔ computational pipelines
o computational outputs ↔ real-world system interpretations
• Identify gaps between layers and help refine how systems are represented
________________________________________
Model & Workflow Iteration
• Participate in refining system representations across layers
• Adjust problem formulations based on:
o computational behavior
o applied system constraints
________________________________________
Collaborative Research
• Work closely with:
o computation engineers (AI / quantum / math)
o applied science engineers (chemistry / biology)
• Contribute to shared research directions rather than isolated components
________________________________________
2. Role-Specific Responsibilities
External Collaboration
• Engage with external partners when needed
• Support alignment between external problems and internal system capabilities
Role Positioning
All Applied Science Engineers participate in the same core technical workflow.
This role is differentiated by:
• Strong emphasis on cross-domain integration across the full system
• Ability to move between:
o math / theory
o computation (ML / quantum)
o applied domains
• Contributing to how different layers of the system connect, not just individual components
Why Us
Compton Lab alumni, Neural Science major, Optic experimentalist with coding hype from top physics program in China, Biochem fans… Diverse backgrounds with common believed future approach which is the intelligence for microscopic systems, build up our Applied Sciences group. Our group is looking forward to anyone becoming our peers, not employers, to progress further. Working closely with other lab fellows, faculty from Berkeley physics, negotiating with scholars, institutions, companies and labs, we gain foundations for solid works and clearer pictures of imagination. We also encourage individual developments, by leading free independent researches and teaming trainees better-off both your future and our shared future.
For international professional cases, we can consider OPT/H1B sponsorship.
On-site Housing coverage might be supported case by case with general priority for full-time professionals.