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Natural Language Processing Engineer
1 week ago
We're a dynamic and innovative company dedicated to revolutionizing education through cutting-edge technology. Our goal is to provide personalized learning experiences that meet the unique needs of students and educators.
Our ApproachWe take a collaborative and user-centered approach to product development, ensuring that our solutions meet the evolving needs of our customers. Our team of experts works tirelessly to develop and refine our products, leveraging the latest advancements in AI and machine learning.
Our Core Strengths- Expertise: We have a deep understanding of the latest advancements in AI and machine learning, allowing us to develop innovative solutions that meet the needs of our customers.
- Innovation: We encourage creativity, experimentation, and risk-taking to drive growth and innovation.
- Collaboration: We foster a culture of open communication, teamwork, and mutual respect.
- Speed: We prioritize speed and agility to deliver results efficiently and effectively.
- Clarity: We focus on simplicity, transparency, and clear communication to ensure that everyone understands our goals and objectives.
What You'll Do at SchoolAI
- You'll develop, train, and deploy LLMs and other models for semantic understanding, text similarities, clustering, classification, emotion detection, and expressive summarization using massive amounts of historical and real-time conversational data.
- You'll build composable, hierarchical, graph-based agentic RAG systems.
- You'll work closely with product management and design roles to understand and empathize with end-customer needs.
- You'll build end-to-end ML solutions spanning from data access (SQL) to model endpoint (API / batch service) and deploy to cloud-based staging environments by collaborating with software engineers.
- You'll research, experiment, and deploy new ML methods to enhance our products.
Requirements
- 3-5 years of experience in developing, training, and deploying ML solutions such as LLM-based agent systems, semantic search, or recommendation engines.
- Relevant ML experience related to semantic understanding, text similarities, clustering, classification, emotion detection, and expressive summarization.
- Working understanding of domain-driven design and decentralized decoupled software architectures.
- Action-oriented and experimental mindset with a focus on rapid prototyping.
- First-principles approach to problem-solving and questioning assumptions.
- Naturally curious and willing to learn something new.
- Experience with SQL, Python, NLTK or Spacy or other NLP libraries, PyTorch or JAX or TensorFlow.
- Exposure to networked, multi-rank GPUs is a huge bonus.
- DGL and data visualization experience is a plus.
