Looking for Machine Learning Architect–Seattle, WA–Need locals

Hello,

This is Tejaswini Senior Lead Recruiter from Metasis Information Systems

This is in reference to the following position

Machine Learning Architect

Job Location:- Seattle, WA

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

UST is looking for a ML architect who can handle following roles and responsibilities:

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

Experience

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

Thanks & Regards,

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