Staff Machine Learning Engineer (Study)

Quizlet • San Francisco, CA

160d • $194,834 - $241,913 • Onsite

About The Position

Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. Contribute to the vision, strategy, and execution of high-impact Machine Learning (ML) and Artificial Intelligence (AI) initiatives across product areas, ensuring alignment with business goals and customer needs. Design and implement scalable ML systems as production-grade Python services, while collaborating closely with engineering, product, design, and data teams to bring intelligent features to life. Perform AI feasibility assessments and technical discovery, shaping the product roadmap by identifying transformative opportunities and advocating for data-driven innovation. Stay current with advancements in AI/ML research and educational technology, evaluating emerging techniques and tools to inform technical work and contribute to forward-looking development efforts. Design and conduct rigorous experimentation to evaluate and optimize model performance, using advanced techniques in ML, data science, and statistical analysis. Contribute technical insights and apply established best practices in ML/AI development, supporting a collaborative and continuously improving engineering environment. Provide input into architectural and organizational decisions beyond your immediate team, contributing to the technical roadmap and long-term vision for ML/AI across the company.

Requirements

• Master's degree or U.S. equivalent in Engineering, Electrical Engineering, or a related field.
• 5 years of professional experience as a Machine Learning Engineer, Data Scientist, or related role.
• 5 years of experience utilizing Python and working with Large Language Models including GPTs.
• 5 years of experience working in a cross-functional team environment for ML-driven research.
• 5 years of experience utilizing machine learning libraries and deep libraries (scikit-learn, numpy, pandas, scipy, TensorFlow, SQL).
• 2 years of experience building personalized recommendation systems utilizing computer vision, natural language processing, or ranking.
• 2 years of experience performing SQL writing, BigQuery, and Google Cloud Platform Machine Learning.

Responsibilities

• Design and deliver AI-powered learning tools.
• Contribute to the vision, strategy, and execution of ML and AI initiatives.
• Implement scalable ML systems as production-grade Python services.
• Collaborate with engineering, product, design, and data teams.
• Perform AI feasibility assessments and technical discovery.
• Shape the product roadmap by identifying transformative opportunities.
• Stay current with advancements in AI/ML research and educational technology.
• Design and conduct rigorous experimentation to evaluate and optimize model performance.
• Contribute technical insights and apply best practices in ML/AI development.
• Provide input into architectural and organizational decisions.

Benefits

• Massive reach: 60M+ users, 1B+ interactions per week.
• Cutting-edge tech: Generative AI, adaptive learning, cognitive science.
• Strong momentum: Top-tier investors, sustainable business, real traction.
• Mission-first: Work that makes a difference in people's lives.
• Inclusive culture: Committed to equity, diversity, and belonging.

What This Job Offers

• Industry: Publishing Industries
• Education Level: Master's degree