Research Scientist, AI
Pramaana Labs (company site, opens in a new tab)On-siteDirect career pageEst. 35–65 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead research advancing foundation models, formal reasoning, and verification to improve AI reliability in complex domains.
- Develop and implement novel training and post-training methods for translating complex knowledge into structured, verifiable representations.
- Own end-to-end research projects including technical strategy, team guidance, benchmarking, and collaborating with engineering to translate research into production improvements.
Minimum Requirements
- Proven research track record with high-impact outputs advancing product or core technology.
- Hands-on experience with foundation model training and post-training, including large-scale pretraining or reinforcement learning.
- Proficiency in Python and modern ML frameworks such as PyTorch or JAX, capable of implementing and scaling training experiments.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in frontier AI research areas like multi-step reasoning, agentic systems, and structured prediction with a strong experimental rigor.
- Demonstrated technical leadership in driving ambitious research initiatives and mentoring while contributing as a strong individual contributor.
- Familiarity with neuro-symbolic AI, autoformalization, theorem proving, or formal verification is a plus.