Postdoctoral AI Scientist

What you'll do

• Define and lead research questions; develop algorithms, models, prototypes, and system designs, and evaluate them through rigorous experiments.
• Design benchmarks and assess AI systems for correctness, robustness, safety, privacy, latency, cost, and other outcomes.
• Collaborate with research, engineering, and domain teams to translate enterprise needs into research and deployable systems; communicate findings and contribute to publications.

What they ask for

• Completed PhD before appointment start in a listed technical field or a closely related technical field.
• Demonstrated research record, such as peer-reviewed publications, significant projects, or comparable scientific contributions.
• Strong foundations in machine learning, algorithms, statistical methods, experimental design, and empirical research; deep research experience in at least one listed AI area.
• Proficiency in Python and experience implementing and evaluating machine learning or AI systems.

Nice to have

• Additional research experience in areas such as formal verification, knowledge graphs, domain-model training, agent systems, privacy-preserving learning, or process mining.
• Research involving AI deployed in regulated, safety-sensitive, or other high-stakes environments.

Pay

$150,000 USD annual base salary

Tools

Python

AI focus

Research and develop trustworthy enterprise AI, including neurosymbolic reasoning, knowledge representation, domain-specialized models, AI agents, learning from feedback, and evaluation, verification, and interpretability.