Senior Research Scientist, Foundation Models & Evaluation

Inworld; Mountain View (CA); Sur place; USD 270 000 - 500 000; Plein temps

Avantages offerts par ce poste

Relocation assistance

Résumé du poste

Inworld seeks a senior ML/NLP researcher to work on agentic AI systems in Mountain View. The role emphasizes end-to-end research ownership, from framing questions to publishing results, with relocation support for the Mountain View office.

Ideal candidates have a PhD or equivalent practical experience in ML/NLP, a track record of published research, and familiarity with foundation models, evaluation practices, and frontier topics such as multimodal models and tool use.

Qualifications

• Foundation models: training, new architectures, RL, reward modeling, scaling.
• Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis.
• Frontier topics: multimodal models, agents, tool use, test-time compute, world models.
• Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI.
• PhD in ML/NLP — or equivalent practical experience you can point to.
• Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions.
• Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result.

Connaissances

Foundation models

Evaluation

Frontier topics

Published research

Public work

Full-stack research ownership

Formation

PhD in ML/NLP

Description du poste

Inworld seeks a senior ML/NLP researcher to work on agentic AI systems in Mountain View. The role emphasizes end-to-end research ownership, from framing questions to publishing results, with relocation support for the Mountain View office.

Ideal candidates have a PhD or equivalent practical experience in ML/NLP, a track record of published research, and familiarity with foundation models, evaluation practices, and frontier topics such as multimodal models and tool use.