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Senior Machine Learning Scientist
Coursera
posted 2d ago
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Flexible timing
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Job Description
Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning.
It is now one of the largest online learning platforms in the world, with 148 million registered learners as of March 31, 2024.Coursera partners with over 325 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelors and masters degrees.
Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business.
Coursera became a B Corp in February 2021. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education.
We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. We at Coursera are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity.
We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees.
Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.
As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.
Job Overview.
:We are seeking a Machine Learning Scientist to join our Discovery Science ML team at Coursera, focusing on creating the next generation of hyper-personalized search and recommender systems.
The candidate will play an instrumental role in researching and developing state-of-the-art techniques for relevant, personalized, and context-aware search and recommendations â"” redefining the learning experience on our platform.
In addition to helping build a robust IR system, this role requires keeping abreast of emerging trends and innovations in machine learning, information retrieval, and online education.
.
Responsibilitie.
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, & LL.
MsCollaborate with cross-functional teams to align research goals with business needs and ensure successful deployment of innovative solutions into productio.
Build and manage large-scale datasets, including corpora, relevance labels, and user interactions, utilizing tools and techniques for data collection, cleaning, and preprocessin.
Conduct thorough evaluations of recommendations models using industry-standard metrics, analyze results, and provide insights for model improvement and business strateg.
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.
Contribute to Coursera's research efforts by publishing in top-tier conferences such as SIGIR, WWW, CIKM, and similar venue.
.
Basic Qualificatio.
ns:PhD or Master's degree in Computer Science, Information Retrieval, or closely related fiel.
Demonstrated experience in developing advanced recommendations models, incorporating techniques like natural language processing (NLP) and learning-to-rank algorith.
Familiarity with information retrieval metrics, evaluation methodologies, and scalable search system architectu.
Track record of publishing research in top-tier conferences such as SIGIR, EMNLP, WWW, CIKM, or similar venu.
.
Preferred Qualificati.
ons:Proficiency in programming languages and deep learning frameworks such as Python, TensorFlow, or PyTo.
rch.Experience in working with large-scale datasets and tools for data collection, cleaning, and preprocess.
ing.Familiarity with ML deployment in production environments and tools for version control, such as.
Git.Proven ability to stay current with emerging research and technologies in the ML and recommendations dom.
ain.Experience with MLOps, ML enginee.
ringExperience collaborating with cross-functional teams and excellent communication abilit.
ies.Passion for driving impact in the field of online education through innovative ML and recommendations techniq.
ues.Familiarity with Coursera's platform and course offerings, as well as active participation in wider AI and Machine Learning communities, is a p.
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.
nce.If this opportunity interests you, you might like these courses on Cours.
era:Unsupervised Learning, Recommenders, Reinforcement Lear.
ningRecommender Systems:Evaluation and Metr.
ics.
Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected c.
lass.If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.
org.
here.For our Global Candidates, please review our GDPR Recruitment Notice.
here..
It is now one of the largest online learning platforms in the world, with 148 million registered learners as of March 31, 2024.
Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business.
Coursera became a B Corp in February 2021.
We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.
We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration.
Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.
As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.
Job Overview.
:We are seeking a Machine Learning Scientist to join our Discovery Science ML team at Coursera, focusing on creating the next generation of hyper-personalized search and recommender systems.
The candidate will play an instrumental role in researching and developing state-of-the-art techniques for relevant, personalized, and context-aware search and recommendations â"” redefining the learning experience on our platform.
In addition to helping build a robust IR system, this role requires keeping abreast of emerging trends and innovations in machine learning, information retrieval, and online education.
.
Responsibilitie.
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, & LL.
MsCollaborate with cross-functional teams to align research goals with business needs and ensure successful deployment of innovative solutions into productio.
Build and manage large-scale datasets, including corpora, relevance labels, and user interactions, utilizing tools and techniques for data collection, cleaning, and preprocessin.
Conduct thorough evaluations of recommendations models using industry-standard metrics, analyze results, and provide insights for model improvement and business strateg.
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.
Contribute to Coursera's research efforts by publishing in top-tier conferences such as SIGIR, WWW, CIKM, and similar venue.
.
Basic Qualificatio.
ns:PhD or Master's degree in Computer Science, Information Retrieval, or closely related fiel.
Demonstrated experience in developing advanced recommendations models, incorporating techniques like natural language processing (NLP) and learning-to-rank algorith.
Familiarity with information retrieval metrics, evaluation methodologies, and scalable search system architectu.
Track record of publishing research in top-tier conferences such as SIGIR, EMNLP, WWW, CIKM, or similar venu.
.
Preferred Qualificati.
ons:Proficiency in programming languages and deep learning frameworks such as Python, TensorFlow, or PyTo.
rch.Experience in working with large-scale datasets and tools for data collection, cleaning, and preprocess.
ing.Familiarity with ML deployment in production environments and tools for version control, such as.
Git.Proven ability to stay current with emerging research and technologies in the ML and recommendations dom.
ain.Experience with MLOps, ML enginee.
ringExperience collaborating with cross-functional teams and excellent communication abilit.
ies.Passion for driving impact in the field of online education through innovative ML and recommendations techniq.
ues.Familiarity with Coursera's platform and course offerings, as well as active participation in wider AI and Machine Learning communities, is a p.
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.
nce.If this opportunity interests you, you might like these courses on Cours.
era:Unsupervised Learning, Recommenders, Reinforcement Lear.
ningRecommender Systems:Evaluation and Metr.
ics.
Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected c.
lass.If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.
org.
here.For our Global Candidates, please review our GDPR Recruitment Notice.
here..
Employment Type: Full Time, Permanent
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