Senior Machine Learning Engineer - GenAI (NLP, LLM)

May 4

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Tripadvisor

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Tripadvisor, the world's largest travel guidance platform*, helps hundreds of millions of people each month** become better travelers, from planning to booking to taking a trip$1. .$1

Travel

1001 - 5000

💰 $300M Post-IPO Equity on 2021-03

Description

• Lead the design, development, and deployment of machine learning models and systems in production. • Develop advanced techniques in natural language understanding (NLU), statistical NLP, language modeling, transfer learning, in-context learning (zero-shot, few-shot, etc.), recommender systems, learning-to-rank models, statistical inference and deep learning. • Collaborate with cross-functional teams to identify opportunities and develop solutions to complex problems. • Stay current with the latest advancements in machine learning and apply them to improve existing systems and processes. • Mentor junior team members and provide technical guidance and expertise. • Drive innovation and contribute to the overall growth and success of the machine learning team. • Design A/B tests and analyze their results.

Requirements

• PhD. or Masters degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred. • 5+ years of experience in machine learning engineering or a related field. • Proficiency in Python and experience with machine learning libraries such as PyTorch/TensorFlow/Jax, spaCy, NLTK, Hugging Face Transformers, etc. • Strong understanding of machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing. • Solid foundation of data structures and algorithms. • Experience following Software Engineering best practices including source control, code reviews, CI/CD, and automated testing. • Ability to write efficient and maintainable SQL queries. • Experience deploying machine learning models in production environments using cloud platforms such as AWS or GCP, using Docker and Kubernetes. • Experience with distributed computing: Snowflake, Apache Spark, Ray. • Experience building data pipelines with tools such as Kubeflow, Argo, and Jenkins. • Experience with model tracking and deployment tools such as MLFlow, Seldon, and Sagemaker. • Excellent problem-solving skills and attention to detail. • Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. • Experience solving problems in some of the following areas: natural language processing (NLU, NER, word embeddings, LSTM), transfer learning, in-context learning (zero-shot, few-shot etc.), information retrieval, knowledge graphs, and statistical modeling

Benefits

• Not specified