Research Intern

Pramaana Labs; Palo Alto (CA); On-site; USD 40,000 - 65,000; Part time

Job summary

Pramaana Labs is seeking a Research Intern to contribute to model training, harness engineering, AI for Formal research, or benchmark development. You’ll run training experiments, investigate symbolic reasoning approaches, and build evaluation harnesses to measure and improve model performance.

You will collaborate with researchers and engineers to turn findings into the next set of experiments, applying deep learning fundamentals and rigorous experimental design to advance formal verification

Qualifications

• Solid grasp of deep learning fundamentals and how to evaluate models.
• Ability to run careful experiments and communicate findings clearly.
• Technical depth in at least one area relevant to the role (model training, formal methods, or evaluation systems).
• Initiative to advance open-ended problems with limited direction.
• Close attention to detail in code, data, and results.

Responsibilities

• Help run model training experiments and analyze results.
• Design harnesses for auto-formalization and prover systems.
• Build and maintain benchmarks to measure performance.
• Investigate where models succeed or fail, and suggest improvements.
• Work with researchers and engineers to turn findings into the next set of experiments.

Skills

Deep learning fundamentals

Experimental design and analysis

Communication skills

Research collaboration

Attention to detail in code and data

Job description

Company

Pramaana Labs is a frontier AI lab building the verification layer for AI. Founded in 2025 and headquartered in Palo Alto, we turn complex human knowledge, including tax codes, legal rules, clinical guidelines and security protocols, into a formal representation, so every AI answer can be traced, challenged, and proved. Pramaana's architecture pairs foundation models trained to formalize and reason with a symbolic world model encoded in Lean 4. Pramaana was founded by a team out of Google, DeepMind, and Glean, combining frontier AI researchers and formal methods experts.

The Role

As a Research Intern at Pramaana, you’ll contribute to one of several areas: model training, harness engineering, AI for Formal research or benchmark development. You’ll help run training experiments, investigate new approaches to symbolic reasoning, or build evaluation harnesses that help us measure and improve model performance.

What You'll Do

• Help run model training experiments and analyze the results.

• Designing harnesses for auto-formalization and prover systems.

• Build and maintain benchmarks to measure performance.

• Investigate where models succeed or fail, and suggest improvements.

• Work with researchers and engineers to turn findings into the next set of experiments.

You Will Thrive in This Role If You Have

• A solid grasp of deep learning fundamentals and how to evaluate models.

• The ability to run careful experiments, communicate findings clearly, and work well with a research team.

• Technical depth in at least one area relevant to the role, such as model training, formal methods, or evaluation systems.

• The initiative to make progress on open-ended problems with limited direction.

• Close attention to detail in your code, data, and results.

Especially Strong Candidates May Also Have

• A background in formal verification (Lean, Coq, or Isabelle)

• Hands-on experience training or fine-tuning LLMs, including work on pretraining, supervised fine-tuning, or reinforcement learning.

• A strong publication record in top-tier venues (NeurIPS, ICML, ICLR).