About You Youre a fit for the role of Applied Scientist if your background includes: • PhD or Masters degree in Computer Science, Machine Learning, or a related field • 1-2 years of hands-on experience building systems using modern techniques in information retrieval, NLP, machine learning, or generative AI (examples include deep learning, transformer architectures, hybrid search, dense retrieval, vector databases, or agentic systems) • Strong programming skills in Python and familiarity with a modern ML framework (PyTorch, JAX, DeepSpeed, or similar) • Experience working with shared codebases and version control systems • Familiarity with cloud development environments (AWS, Azure, or GCP) • Strong communication and problem-solving skills, with the ability to work effectively across functions • Experience implementing and evaluating solutions with large language models and LLM evaluation frameworks (e.g., OpenAI Evals, HELM, LM Harness, or custom tools) • Experience with retrieval-augmented generation (RAG), tool-using agents, and agentic frameworks • Publications or preprints in relevant venues (NeurIPS, ACL, EMNLP, ICLR, SIGIR) • Experience with production code and MLOps practices #LI-MW1 Whats in it For You? • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.