Machine Learning Researcher
Team: Data Science & Machine Learning
Location: San Francisco, New York
Commitment: Full-time
Workplace Type: hybrid
What We're Looking For:
- At least 1+ year working with generative AI models.
- Hands-on experience with generative AI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and evaluation of large language model applications.
- Proficiency in Python programming and version control.
- Strong understanding of the latest AI trends and practices to maintain state-of-the-art solutions.
- Collaboration: Excellent communication skills to work effectively with cross-functional teams.
- Education: PhD or Master's in Computer Science, Data Science, or a related field, or equivalent experience.
Nice to have:
- Experience in the EdTech industry or a strong interest in K-12 education.
- Knowledge of educational pedagogy or curriculum development.
- Hands-on experience with multi-modal models.
- Familiarity with software engineering practices such as Test-Driven Development (TDD) and CI/CD pipelines.
- Interest or experience in authoring research papers or white papers.
Why Join Us?
- Make a Tangible Impact: Contribute to improving K-12 education by empowering teachers and enhancing student learning experiences.
- Work on Cutting-Edge AI: Dive into the latest advancements, including prompt engineering, RAG, multi-modal models, and more.
- Collaborate with Passionate Teams: Be part of a diverse team of engineers, designers, product managers, and educators who are driven to solve meaningful problems.
- Growth and Learning Opportunities: Stay at the forefront of AI research and technology in a supportive, innovative environment.
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