Staff Applied Scientist - Remote

Overview

We are looking for an accomplished Staff Applied Scientist to join the Library team within ProductOrg, leading the design and delivery of ML-driven capabilities that power the heart of Loopio’s platform.

In Short

• Lead research-to-production efforts in NLP, LLMs, retrieval-augmented generation (RAG), multi-agent reasoning, and knowledge graph–driven solutions.
• Architect and deploy advanced ML models, including LLM fine-tuning, reasoning agents, and context-aware generation pipelines.
• Explore and adapt state-of-the-art research into production-ready prototypes.
• Build intelligent workflows that improve automation, personalization, and accuracy.
• Own the scope, architecture, and delivery of scalable ML systems.
• Design and integrate knowledge graphs, embeddings, and hybrid retrieval methods.
• Build reliable services by combining strong software engineering fundamentals with modern ML frameworks.
• Drive end-to-end project plans for modeling initiatives.
• Collaborate with Product, Engineering, and Design teams.
• Mentor senior engineers and data scientists.

Requirements

• 6+ years of experience applying ML in production, with specialization in NLP, LLMs, RAG, agent workflows, and knowledge graphs.
• Demonstrated success in fine-tuning and deploying large-scale models.
• Strong grounding in experimental design and evaluation methods.
• Ability to set vision and strategy for applied ML.
• Experience mentoring senior engineers and data scientists.
• Expertise in architecting large-scale ML systems.
• Strong fundamentals in Python, ML frameworks, and distributed computing.
• Proven ability to build APIs and microservices.
• Proven ability to partner with Product, Engineering, and Design leaders.
• Skilled at framing ML solutions in terms of user impact and ROI.

Benefits

• Ongoing feedback and regular 1-on-1s for development.
• Opportunity to explore creativity with a dedicated professional mastery allowance.
• Wide range of health and wellness benefits starting day 1.
• Work remotely with a MacBook laptop and a work-from-home budget.
• Supportive culture with opportunities for connections in a remote-first environment.
• Participation in townhalls, AMA, and quarterly celebrations.
• Active Employee Resource Groups for learning and connection.
• Award-winning workplace with an opportunity to make a big impact.