Job Location:- Seattle, WA (Day 1 Onsite, Candidate needs to work 3 Days at the Client office)
Duration: 12+ Months Contract
Level | Skill | Core Concepts |
Expert | Machine Learning Model Development | LLMs, Bayesian Methods, Random Forests, Clustering, NER, LDA, Decision Trees |
Expert | Programming Proficiency | Python, Java, R, Software Engineering Best Practices, Code Modularity |
Proficient | Data Processing and Scalable Pipelines | Distributed Computing, ETL Pipelines, Spark, Data Preprocessing |
Proficient | NLP and Language Model Applications | Transformers, NER, Hugging Face, Text Classification, Embeddings, GPT/BERT |
Proficient | Experimentation and Statistical Testing | A/B Testing, Factorial Design, Stratified Sampling, Causal Inference |
Proficient | Personalization and Recommendation Systems | Recommendation Engines, Content-Based Filtering, Collaborative Filtering, CV, NLP |
Develop and implement advanced machine learning models (including Large Language Models) and statistical algorithms, processing massive datasets to build scalable prototypes
Explore new content opportunities in text and image domains to create personalized traveler experiences with high business impact
Design and run experiments (A/B testing, multi-variate, factorial design, stratified sampling) to measure the effectiveness of campaigns and new initiatives
Collaborate with cross-functional teams, including Machine Learning Science, Marketing, and Engineering, and present findings to executives and stakeholders to drive strategic decisions
Contribute to the success of Expedia's ML community by mentoring team members, fostering a collaborative culture, and sharing best practices with other ML teams
5+ relevant experience and/or Master’s Degree or PhD preferred in a related field Proficient in one or more data science programming languages (Python, Java, R)
Strong expertise in ML techniques such as Bayesian Methods, Clustering, Decision Trees, Latent Dirichlet Allocation, NER, Random Forests, and more Proven experience applying NLP techniques and LLMs in production to solve business problems and generate significant value Location (Seattle) & in-office presence 3x a week is mandatory
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