Remote Staff Machine Learning Engineer

Description:

• Playlab is a tech non-profit focused on empowering educators and students to become critical consumers and creators of AI.
• The organization promotes an open-source, community-driven approach to harness AI's potential in education.
• The Staff Machine Learning Engineer will experiment with emerging AI technologies and translate them into usable capabilities for educators.
• The role involves working at the intersection of advanced machine learning and real educational needs to make AI useful, safe, and accessible.
• Responsibilities include designing evaluation systems for educational AI quality, building self-improving app creation systems, and developing on-device AI models for offline use.
• The engineer will create dynamic interfaces that adapt to learning moments and build content moderation systems for educational discourse.
• The position also involves implementing agentic AI systems and sophisticated RAG systems that integrate educational content with semantic search.

Requirements:

• Candidates must have 7+ years of experience in building and deploying machine learning systems in production, with recent experience in generative AI and large language models (LLMs).
• A strong understanding of machine learning fundamentals, model fine-tuning, and evaluation methodologies is required.
• Experience in building production AI systems is essential, including knowledge of latency, cost optimization, and evaluation challenges.
• Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and HuggingFace is necessary.
• Candidates should thrive in high-agency, collaborative cultures and possess excellent communication skills suitable for a remote-first work environment.

Benefits:

• Playlab offers the opportunity to work at the forefront of AI technology in education, impacting thousands of educators and students.
• The role includes the chance to contribute to open-source machine learning infrastructure and establish evaluation standards for educational AI.
• Employees will have the opportunity to mentor other engineers in machine learning systems design and implementation.
• The position allows for continuous learning and experimentation with cutting-edge AI techniques while ensuring reliability and performance at scale.