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Chegg

Senior Machine Learning Engineer

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Job Description

Job Description

Senior Machine Learning Engineer

Your goal: To improve the education process and improve the student experience through data.

The organization: Data Science for Learning Services
Data Science and Machine Learning are core to Chegg. As a Student Hub, we want to ensure that
students discover the full breadth of learning solutions we have to offer to get full value on their learning time with us. To create the most relevant and engaging interactions, we are solving a multitude of machine learning problems so that we can better model student behavior, link various types of content, optimize workflows, and provide a personalized experience.

The Role: Senior Machine Learning Engineer
As a Senior Machine Learning Engineer, you will focus on conducting research and development in NLP and ML. You will be responsible for writing production-quality code for data product solutions at Chegg. You will lead in identification and implementation of key projects to process data and knowledge discovery.

Responsibilities:


Translate product requirements into AIML/NLP solutions
Be able to think out of the box and be able to design novel solutions for the problem at hand
Write production-quality code
Be able to design data and annotation collection strategies
Identify key evaluation metrics and release requirements for data products
Integrate new data and design workflows
Innovate, share, and educate team members and community

Requirements:


5+ years of working experience in machine learning, NLP, recommendation systems, experimentation, or related fields, with a specialization in NLP
Hands on working experience on Gen AI use cases ( Fine tuning, Rag, chatbot etc)
Working experience on large language models that cater to multiple tasks such as text generation, Q&A, summarization, translation etc is highly preferred
Knowledge on MLOPs and deployment pipelines is a must
Expertise on supervised, unsupervised and reinforcement ML algorithms.
Strong programming skills in Python
Top data wrangling skills using SQL or NOSQL queries
Experience using containers to deploy real-time prediction services
Passion for using technology to help students
Excellent communication skills
Good team player and a self-starter
Outstanding analytical and problem-solving skills
Experience working with ML pipeline products such as AWS Sagemaker, Google ML, or Databricks a plus.

Why do we exist

Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we've expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Thinkful Online Learning, and more, to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.
About Us
What is Chegg

An always on digital learning platform.

Chegg puts students firstEverything we build in this company is student-focused, making us the leading student-first connected learning platform. Chegg strives to improve the overall return on investment in education by helping students learn more in less time and at a lower cost. This is achieved by providing students a multitude of educational tools from affordable textbook rentals to Chegg Study which supplements their learning through 24/7 tutor access, step-by-step help with questions, and more.

Chegg is a publicly-held company based in Santa Clara, California and trades on the NYSE under the symbol CHGG.

More Info

Industry:Other

Job Type:Permanent Job

Date Posted: 08/10/2024

Job ID: 95449907

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Last Updated: 20-10-2024 01:38:30 PM
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