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Staff Machine Learning Engineer (Job Vacancy)

Chegg India

Delhi

Mid-Senior level

Not Disclosed

Full-time

1 Vacancies

200 Applicants|Posted 5 Months ago


Job Description

Staff 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: Staff Machine Learning Engineer

As a Staff 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, and leading the design and implementation of complex ML models and systems
  • 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

  • 6+ years of working experience in machine learning, NLP, recommendation systems, experimentation, or related fields, with a specialization in NLP
  • Working experience on LLMs 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
  • 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

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.

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Chegg is an equal opportunity employer

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