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Applied ML Scientist / Senior Applied ML Scientist (Natural Language Processing)
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- Conduct research and development of Natural Language Processing (NLP) models, and collaborate with engineers to bring these models into production.
- Contribute to the internal ML packages, and help the team to build tools for training, evaluating, debugging, and interpreting NLP models for retrieval, reranking and generation.
- Please apply if: Experience applying transformer model architectures to NLP challenges is crucial, we expect you to have significant experience experimenting with encoder and especially decoder architectures.
- Experience applying parameter-efficient fine-tuning for LLM as well as familiarity with different training techniques SFT, DPO, PPO.Experience with optimizing LLMs for inferenceStrong understanding of data structures, algorithms, and OO designStrong knowledge of Python and hands-on experience with NLP-related /scientific computing packages (HuggingFace ecosystem (Transformers, TRL, PEFT), DeepSpeed, PyTorch, NumPy, SciPy).
- Publications in the field of NLP.Hands-on experience in deploying Large Language Models (LLMs) to real-world products, particularly in environments sensitive to latency where the model processes many queries simultaneously.
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