Responsibilitie.

<ul>
<li>s:Design, develop, deploy, and maintain advanced recommendations ranking models, leveraging machine learning techniques such as two tower models, natural language processing (NLP), label collection, learning-to-rank, user behavior analysis, &amp; LL.</li>
</ul>

<ul>
<li>MsCollaborate with cross-functional teams to align research goals with business needs and ensure successful deployment of innovative solutions into productio.</li>
</ul>

<ul>
<li>Build and manage large-scale datasets, including corpora, relevance labels, and user interactions, utilizing tools and techniques for data collection, cleaning, and preprocessin.</li>
</ul>

<ul>
<li>Conduct thorough evaluations of recommendations models using industry-standard metrics, analyze results, and provide insights for model improvement and business strateg.</li>
</ul>

<ul>
<li>Stay up-to-date with the latest trends in ML, recommender systems, search science, and information retrieval, frequently attending conferences, workshops, and engaging in collaborative research project.</li>
</ul>

<ul>
<li>Contribute to Coursera's research efforts by publishing in top-tier conferences such as SIGIR, WWW, CIKM, and similar venue.</li>
</ul>

Basic Qualificatio.

<ul>
<li>ns:PhD or Master's degree in Computer Science, Information Retrieval, or closely related fiel.</li>
</ul>

<ul>
<li>Demonstrated experience in developing advanced recommendations models, incorporating techniques like natural language processing (NLP) and learning-to-rank algorith.</li>
</ul>

<ul>
<li>Familiarity with information retrieval metrics, evaluation methodologies, and scalable search system architectu.</li>
</ul>

<ul>
<li>Track record of publishing research in top-tier conferences such as SIGIR, EMNLP, WWW, CIKM, or similar venu.</li>
</ul>

Preferred Qualificati.

<ul>
<li>ons:Proficiency in programming languages and deep learning frameworks such as Python, TensorFlow, or PyTo.</li>
</ul>

<ul>
<li>rch.Experience in working with large-scale datasets and tools for data collection, cleaning, and preprocess.</li>
</ul>

<ul>
<li>ing.Familiarity with ML deployment in production environments and tools for version control, such as.</li>
</ul>

<ul>
<li>Git.Proven ability to stay current with emerging research and technologies in the ML and recommendations dom.</li>
</ul>

<ul>
<li>ain.Experience with MLOps, ML enginee.</li>
</ul>

<ul>
<li>ringExperience collaborating with cross-functional teams and excellent communication abilit.</li>
</ul>

<ul>
<li>ies.Passion for driving impact in the field of online education through innovative ML and recommendations techniq.</li>
</ul>

<ul>
<li>ues.Familiarity with Coursera's platform and course offerings, as well as active participation in wider AI and Machine Learning communities, is a p.</li>
</ul>

<ul>
<li>lus.Familiarity with data science concepts, including the ability to design, implement, and analyze A/B tests in an online environment to optimize product performance and user experie.</li>
</ul>

<ul>
<li>nce.If this opportunity interests you, you might like these courses on Cours.</li>
</ul>

<ul>
<li>era:Unsupervised Learning, Recommenders, Reinforcement Lear.</li>
</ul>

<ul>
<li>ningRecommender Systems:Evaluation and Metr.</li>
</ul>

Sr Machine Learning Scientist

Job Details & Overview

Skills Required for Sr Machine Learning Scientist

Job Description for Sr Machine Learning Scientist