Senior Machine Learning Engineer, Quizlet
Content Discovery
$190-246k
Learning tools for students and teachers
Be an early applicant
Learning tools for students and teachers
201-500 employees
Be an early applicant
$190-246k
201-500 employees
Company mission
Quizlet's mission is to give every student the tools and confidence to succeed, no matter their motivation or what they’re striving to achieve.
Role
Who you are
- Bachelor’s degree or U.S. equivalent in Business Analytics, Computer Science, Computer Engineering, or a related field plus 4 years of professional experience as Machine Learning Engineer, Data Scientist, or any occupation/position/job title involving technical applications of ML/AI
- Must also have experience with the following special skills: 2 years of professional experience delivering production Machine Learning solutions at scale
- 2 years of professional experience performing Python programming and SQL writing, and utilizing BigQuery, AWS, or Google Cloud Platform Machine Learning
- 2 years of professional experience building personalized recommendation systems utilizing computer vision, natural language processing, or ranking
- 2 years of professional experience utilizing machine learning libraries and deep libraries (including scitkit-learn, numpy, pandas, scipy, TensorFlow, SQL, Hive, or Spark) to access and analyze data; and 1 year of professional experience innovating and improving upon algorithms and methodologies in search and personalization
What the job involves
- Develop and improve artificial intelligence (AI) and machine learning-driven (ML) products
- Envision, research, and implement high-impact ML / AI solutions in collaboration with cross-functional teams
- Manage the creation and maintenance of Python-based production services, serving over 50 million users monthly
- Continuously update and optimize ML/AI models to ensure platform innovation and leadership in educational technology
- Provide technical guidance and mentorship within the team
- Build and validate search, personalization, recommendation, and/or newsfeed algorithms to develop and improve customer- facing products
- Apply and leverage various search and recommendation algorithms to optimize systems to adopt real-world advantages and drawbacks, including student learning experiences, and measuring their success
- Utilize ML approaches and techniques to review and analyze data in order to manage ambiguity and complex technical problems effectively
- Utilize Python, ML libraries, and deep learning libraries (such as scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.) to access and analyze data to improve ML/AI components and products
- Write clean, understandable, well-documented code, and build reproducible models, adhering to industry standards and best practices
- Review and identify biases in data and develop appropriate solutions to mitigate them
- Use strong communication skills (written and verbal) to communicate effectively at all levels, and explain sophisticated technical solutions to non-experts, while remaining receptive to diverse voices and perspectives
- Maintain clarity, credibility, and forward-thinking approach in all aspects of assigned work
Application process
- Must specify ad code AWDC
Our take
Quizlet has built a large-scale business around simple-to-share and simple-to-use products. Its free flashcard maker helps students prepare for exams. Those insights fuel Quizlet Plus, the startup’s subscription product that charges an annual fee for access to more features, including tutoring services.
After a long period of runaway growth, during which the company achieved a $1 billion valuation, Quizlet has been somewhat buffered by the general market downturn affecting the tech sector in 2022, which hit EdTech particularly heavily. It has responded by a shakeup of its leadership team, appointing AirBnB and Starship Technologies veteran Lex Bayer.
With an entrepreneurial management team and a strong user base of over 60 million students and teachers, Quizlet seems likely to weather the current economic situation and resume its growth in the near future.
Freddie
Company Specialist at Welcome to the Jungle
Insights
75% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
May 2020
$30m
SERIES C
Feb 2018
$20m
SERIES B
Total funding: $62m
Company benefits
- Comprehensive health, dental, vision and disability plans for you and your family. 100% paid premiums for employees, 75% for dependents
- 20 days of PTO, 10 paid holidays, and 5 volunteer days
- Generous family leave plan
- $1,000 stipend each year for professional development
- $100/month reimbursement towards wellness, plus memberships to physical & mental health resources
- Stock options
- 401k match
- Free lunch and dinner, healthy snacks & drinks daily
- Commuter Benefits - we'll help cover 50% of your public commuter & parking costs, plus pre-tax FSA.
Company values
- Help students learn
- Be curious
- Move with purpose
- Be an owner
- Be tough on ideas
Company HQ
China Basin, San Francisco, CA
Articles
Leadership
Dave Margulius
(Board Member)Currently Advisor at Law Students for Climate Accountability. Previously on the Board of Directors at Churchill Club and Founder at Enterprise Insight.
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