Founding Research Scientist: AI Foundations from Experience

Observable Intuition; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Observable Intuition in New York, NY, seeks a Founding Research Scientist to define the research foundations behind a new layer of intelligence.

You’ll work with a founding team to develop methods, build working systems, and make foundational technical decisions for production deployment in enterprise environments.

You’ll shape representation learning, graph and temporal modeling, and uncertainty estimation, translating research into scalable systems.

Qualifications

• PhD or equivalent research depth in ML, statistics, CS, or a related field.
• Contributions in graph machine learning, knowledge representation, temporal or event modeling, or uncertainty quantification.
• Strong statistical foundations, including calibration and model evaluation.
• Experience designing evaluations for problems without established benchmarks or complete ground truth.
• Experience building learning systems where supervision is weak or indirect.

Responsibilities

• Build models that transform noisy observational data into structured representations.
• Develop methods for learning organizational behavior directly from real-world activity.
• Model how organizational state and behavior evolve over time.
• Design uncertainty estimation and calibrated abstention systems.
• Create evaluation methodologies for problems with sparse labels and incomplete ground truth.
• Develop methods for evaluating reliability of learned representations in real-world conditions.
• Transition research ideas into deployed systems while maintaining scientific rigor.

Skills

Graph machine learning

Uncertainty quantification

Temporal modeling

Experiment design

Education

PhD or equivalent research depth

Tools

PyTorch

JAX

Job description

Observable Intuition in New York, NY, seeks a Founding Research Scientist to define the research foundations behind a new layer of intelligence.

You’ll work with a founding team to develop methods, build working systems, and make foundational technical decisions for production deployment in enterprise environments.

You’ll shape representation learning, graph and temporal modeling, and uncertainty estimation, translating research into scalable systems.