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Sr. Machine Learning Engineer, Content Discovery
Quizlet, United States
Experience
1 Year
Salary
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
May 16, 2023
Last Date
Jun 16, 2023
Location(s)
Job Description
About Quizlet:
Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.
Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.
Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.
To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.
About the Team:
Quizlet’s Machine Learning team is core to Quizlet’s vision of being an AI tutor and go-to student app for everyone. We inspire, validate, build, and continuously improve ML/AI products to scale learning. Some things we’ve worked on include personalized learning experiences by modeling how students learn, smart assessment, and advanced questions. We use our vast UGC study content, unique data of billions of study interactions, learning science, diverse domain expertise, cutting-edge ML, and generative AI.
About the Role:
We are full stack ML data scientists here at Quizlet, involved in everything from ideation to prototype research to technical implementation.
This is a hybrid role. While you are currently permitted to work remotely in the New York and San Francisco Bay Area, you must remain able to work in the office as business needs dictate and as identified by your manager.In this role, you will:- Apply your proven expertise in building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
- Leverage your technical leadership skills to provide mentorship and guidance to team members
- Use your deep understanding of various search and recommendation algorithms to optimize our systems, considering the real-world advantages and drawbacks, and measuring their success
- Handle ambiguity, competing priorities, and complex technical problems effectively
- Utilize your hands-on experience with Python, machine learning libraries, and deep learning libraries (such as scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.) to access and analyze data
- Write clean, understandable, well-documented code, and build reproducible models, adhering to industry standards and best practices
- Account for biases in data, developing appropriate solutions to mitigate them
- Communicate effectively at all levels, with the ability to explain sophisticated technical solutions to non-experts, and openness to diverse voices and perspectives
- Maintain clarity, credibility, and forward-thinking in all aspects of your work
What you bring to the table:- 4+ years of experience in machine learning and a proven track record of delivering impactful, production ML solutions at scale
- Deep understanding of machine learning approaches and techniques, as well as of product and user needs
- Demonstrated experience in optimizing search and ranking algorithms, ideally with technologies such as ElasticSearch, SOLR, or Open Search
- Strong expertise in building personalized recommendation systems, understanding the nuances and complexity associated with personalization
- Proven ability to innovate and improve upon current algorithms and methodologies in search and personalization
- Capacity to balance the trade-offs between precision and recall, relevancy and personalization, and other key aspects in search and recommendation systems
Bonus points if you have:- Experience working in EdTech and or with user-generated content websites
- Familiarity with GCP (Google BigQuery, Cloud Spanner) and Elastic Search, and Apache Airflow
- Familiarity with the latest advancements in large language models (LLMs) and their applications in education
Compensation, Benefits Perks:- Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hirin
Job Specification
Quizlet
Information Technology and Services - San Jose, United States