Applied Scientist - AI & Semantic Intelligence

Reposted 13 Days Ago
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Bellevue, WA
In-Office
250K-350K Annually
Expert/Leader
Software
The Role
The Applied Scientist will design semantic architectures, develop LLM-powered systems, and conduct research in NLP and graph learning to improve supply chains.
Summary Generated by Built In
Join Auger — Where Innovation Meets Real-World Impact

Imagine a place where you get the best of both worlds: the speed and energy of a startup, and the experience of leaders who’ve built systems that scale globally.

Founded by 23-year Amazon veteran and serial innovator Dave Clark and backed by a $100M investment led by Oak HC/FT, Auger isn’t just rethinking how global supply chains work—we’re redefining them.

What We’re Building

Auger is creating the world’s first agentic operating system for supply chains—turning one of the planet’s most complex systems into a source of foresight, resilience, and growth.

We partner with leading global enterprises to solve their toughest challenges: accelerating decision speed, reducing costs, unlocking capital, and improving service. With Auger, brittle fragments become an indestructible engine of progress, economic strength, and planetary sustainability.

Why It Matters

Supply chain problems aren’t just business problems—they’re human ones. When a supply chain breaks down, products don’t reach shelves, workers face burnout, and the environment pays the price. Auger is here to change that.

At Auger, you’ll join an expert team that’s fundamentally reshaping one of the world’s most vital industries. If you’re ready to build technology that makes a real impact on people, business, and the planet—come build with us.

About the Position


Auger's AI & Semantic Intelligence Team is at the heart of this transformation—developing intelligent, context-aware systems that reason, learn, and act autonomously to improve global supply chains. We are seeking a curious and results-oriented Applied Scientist who is passionate about building the next generation of AI systems at scale. We have more ideas than time to implement, so the proven ability and passion to rapidly prototype and validate concepts is the most important skill for this role.

What You’ll Do
  • Design and scale semantic architectures that model complex relationships across massive, multi-modal data ecosystems.

  • Develop LLM-powered reasoning and retrieval pipelines, integrating RAG, semantic embeddings, and agentic decision-making capabilities.

  • Build and optimize vector-based search systems for high-dimensional semantic retrieval using ANN algorithms.

  • Lead research and experimentation on graph learning, representation learning, and large-scale NLP, with an emphasis on production-grade deployment.

  • Collaborate cross-functionally with data, ML, and engineering teams to ship intelligent systems that power Auger’s agentic platform.

What You’ll Bring

1. Semantic Graph & Knowledge Graph Mastery

  • Deep experience designing and scaling semantic/knowledge graphs for complex domains.

  • Hands-on proficiency with Neo4j, ArangoDB, or Amazon Neptune and frameworks like DGL, PyTorch Geometric, or NetworkX.

  • Advanced skills in ontology design and entity disambiguation.

2. NLP, Generative AI & Embeddings

  • Mastery of NLP techniques for entity/relation extraction, summarization, and semantic understanding using transformer models (BERT, GPT, T5).

  • Expertise in embedding generation (Sentence-BERT, OpenAI embeddings, or domain-specific models).

  • Experience integrating Retrieval-Augmented Generation (RAG) or LLM orchestration into semantic pipelines.

3. Vector Databases & Scalable Search

  • Proficiency with Pinecone, Weaviate, Milvus, or FAISS for vector search and retrieval.

  • Strong understanding of Approximate Nearest Neighbor (ANN) algorithms and real-time semantic indexing.

4. Advanced AI/ML for Semantic Systems

  • Experience with Mixture-of-Experts (MoE) architectures, contrastive learning, and few/zero-shot learning.

  • Knowledge of multimodal AI—integrating text, images, and structured data into unified graph representations.

5. Research & Experimentation

  • Proven ability to conduct original research in NLP, semantic understanding, or graph learning (publications preferred).

  • Expertise in evaluation metrics for semantic systems: precision, recall, similarity, graph quality, etc.

  • Ability to design and execute benchmarking experiments and evaluate model performance on domain-specific datasets. 

Benefits
  • Highly competitive total compensation packages  

  • Top tier medical, dental, and vision insurance  and wellness perks

  • 401K with Company match

  • Work with teammates who tackle complex and consequential challenges with resilience, determination, and good humor.  

Auger considers all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Top Skills

Amazon Neptune
Arangodb
Bert
Dgl
Faiss
Gpt
Milvus
Neo4J
Networkx
Openai Embeddings
Pinecone
Pytorch Geometric
Sentence-Bert
T5
Weaviate
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The Company
HQ: Bellevue, WA
35 Employees

What We Do

About Auger
Auger is a pioneering venture to build the world's first true end-to-end supply chain operating system. Founded and led by Dave Clark, former CEO of the Amazon Consumer Business and backed by an initial $100M from Oak HC/FT, Auger is building a future where global supply chains operate with the simplicity of today’s most intuitive consumer technologies. Revolutionizing global supply chains with an AI-powered OS unifying data for seamless, real-time insights, and powerful automation.

Our Solution
Auger is creating a new solution for companies seeking better options. Auger’s core strength lies in its deep AI-powered automation, paired with a consumer-grade user experience. This combination allows operators to handle complex tasks through simple, familiar tools. Need real-time inventory insights for next week’s shipment? Just ask. Actionable data appears instantly, enabling swift decisions—no complex queries or training required.

Why We’re Different
Traditional supply chain management is fragmented, relying on incompatible systems and inefficient workarounds. Many companies are stuck with “Franken-software”—patched-together solutions that fail to communicate effectively. Auger is different. We integrate deeply with existing systems, use AI to automate routine processes, and deliver a cohesive user experience that feels intuitive and natural, letting your team focus on what matters: driving growth, innovation, and sustainability.

A Human-Centered Approach
Broken supply chains don’t just impact businesses—they affect people. Delays mean products don’t reach shelves, miscommunications lead to overtime and burnout, and inefficiencies drive up costs and contribute to a growing carbon footprint. We believe supply chain problems are human problems, and we’re here to solve them. At Auger, we’re on a mission to make global supply chains more efficient, more sustainable, and ultimately, better for everyone.

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