AI Researcher — AI Architecture Research
New
J
JobgetherArtificial Intelligence
IndiaFull-TimeMiddle
SalaryCompetitive compensation package with meaningful equity participation.
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Job Details
- Required Skills
- Machine LearningPyTorchResearch
Requirements
- Strong academic or industrial research background in machine learning, with a specialization in AI model architecture.
- Demonstrated publication record in recognized AI or machine learning venues such as NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, or arXiv.
- Deep understanding of neural network architectures, sequence modeling, attention mechanisms, optimization techniques, and training dynamics.
- Hands-on experience developing machine learning models using PyTorch or JAX.
- Proven ability to design rigorous experiments, analyze results critically, and communicate research findings effectively.
- Comfortable working in a fast-moving, collaborative startup environment with a high level of ownership.
- Experience with non-Transformer architectures, long-context models, state-space models, hybrid architectures, or memory-efficient AI systems is highly valued.
- Familiarity with efficient training techniques, inference optimization, open-source research contributions, or production AI systems is considered an advantage.
Responsibilities
- Research, design, and evaluate novel AI model architectures beyond traditional Transformer-based approaches.
- Investigate new techniques to improve model scalability, computational efficiency, training stability, and inference performance.
- Prototype innovative architectures and validate their effectiveness through rigorous experimentation, benchmarking, and ablation studies.
- Author and co-author high-quality research papers for leading machine learning conferences, journals, and preprint platforms.
- Collaborate closely with engineering teams to translate research breakthroughs into production-ready training and inference systems.
- Monitor emerging advancements in artificial intelligence research and identify promising directions for future innovation.
- Contribute to defining the long-term research roadmap and influence the evolution of next-generation AI models.
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