Machine Learning Engineer, NLP/NLU

ABOUT THE ROLE Peloton is looking for a Machine Learning Engineer to develop natural language processing capabilities for connected fitness. Your main focus will be to enhance the existing NLP/NLU platform with the help of the latest machine learning techniques and tools. The Content AI team applies AI/ML to enhance Peloton’s fitness content. As part of the team, you will be working on voice transcription and translations pipelines, search and discovery algorithms, Generative AI, and voice assistance technology. YOUR DAILY IMPACT AT PELOTON Work with the rest of the team to solve problems in the NLP/NLU domain such as named entity recognition, user intent recognition, and query classification. Build, train, and deploy open source models such as Whisper, LLaMA, etc. Hypothesize, design, and conduct various experiments in the natural language processing, understanding, and generation domain. Help build tools to mine and label text datasets for training/testing. Work on search algorithms/optimizations using OpenSearch/Elastic Search. YOU BRING TO PELOTON Masters in Machine Learning, AI, Computer Science, Mathematics, or related fields. 1-2 years of experience developing solutions using supervised and unsupervised machine learning techniques in natural language processing applications. Understanding of transformer models, GenAI including few shot learning, fine tuning, guardrailing, and benchmarking. Understanding of various neural network architectures specifically applied to solve NLP problems, such as CNN, LSTM, GRU, and transformer-based architectures. Deep understanding of word embeddings, BERT, GPT, text classifiers, transfer learning, text mining, and text labeling concepts. Experience with technologies such as Tensorflow, PyTorch, spaCy, Sagemaker, MLFlow, Airflow, TensorBoard, Anaconda, Jupyter, and Kubernetes. Experience with building personal digital assistants or chatbots. Experience with building search platforms, personalizing search and discovery. Experience with automatic speech recognition (ASR). ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction and world-class content to create impactful and entertaining workout experiences for anyone, anywhere, and at any stage in their fitness journey. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit

www.onepeloton.com . At Peloton, we motivate the world to live better. Join our team to unlock yours. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

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