Staff / Principal Research Scientist - USA
$270k - $500k • Mountain View, California, USA • FullTime
Posted 3y ago
About the job
Inworld is a research lab building top-ranked real-time voice models used in large consumer-facing AI applications. Our work spans research and development of state-of-the-art models, optimizing real-time inference, and creating best-in-class APIs and products. We are looking for strong individuals from varied backgrounds who learn fast, thrive in ambiguity, and can demonstrate their built, broken, and understood work. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture.
Responsibilities
- Frame research questions, run experiments, write papers, and ship results.
- Develop and train foundation models, including new architectures, RL, reward modeling, and scaling.
- Implement and refine evaluation methodologies, including benchmarks, eval loops, quality measurement, LLM-as-judge, and failure analysis.
- Explore and implement frontier AI topics such as multimodal models, agents, tool use, test-time compute, and world models.
- Contribute to published research at top-tier conferences like ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI.
- Engage in full-stack research ownership from problem definition to solution delivery.
Requirements
- Demonstrated experience in foundation models: training, new architectures, RL, reward modeling, scaling.
- Experience with evaluation techniques: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis.
- Familiarity with frontier AI 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.
- Publicly available AI side projects, interdisciplinary experiments, or open-source contributions.
- Ability to thrive in ambiguity and pick a direction to build the map as you go.
- Bias for impact and shipping research results.
- Deep understanding of fundamental logic behind decisions.
Benefits
- Bonus
- Equity
- Benefits
- Relocation assistance