Job Opportunities API

ABOUT HEBBIA The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock https://www.blackrock.com/us/individual/about-us/about-blackrock?cid=ppc:blk_us:corpaffairs_us_br_reputationmediamanagement_na_exact_ol:google:brand_nonprod:ol&gclsrc=aw.ds&gad_source=1&gad_campaignid=21584717446&gbraid=0AAAAACc6WDFbRb5bgB6zxVFLE_7yIy25I&gclid=CjwKCAiA9aPKBhBhEiwAyz82J2uDlcIPVsy0fhSZMS_rp_OsGerYzYFPFfLo4TlN8K4eCHWzPfvysRoC7oQQAvD_BwE, KKR https://www.kkr.com/, Carlyle https://www.carlyle.com/, Centerview https://www.centerviewpartners.com/, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. THE TEAM  Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale. We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world.  We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems.    WHAT WE’VE BUILT:  1. A custom multi-agent framework https://www.hebbia.com/blog/divide-and-conquer-hebbias-multi-agent-redesign powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks. 2. The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our LLM throughput management capabilities. https://www.hebbia.com/blog/maximizer-hebbias-distributed-system-for-high-scale-llm-request-scheduling 3. Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems.  4. Industry leading agents https://www.hebbia.com/blog/goodbye-rag-how-hebbia-solved-information-retrieval-for-llmssolving problems from buy side company diligence to multi billion dollar M&A. THE ROLE As an Applied Research Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Hebbia product suite. You will own experiments and POCs focused on combining the latest research findings with specific high value problems that our customers encounter each and every day. You will leverage our deep relationships with foundation model providers -  partnering to beta test models, experiment with new features, and develop guidance on relative model strengths This role requires prior expertise in NLP, machine learning systems, and LLM evaluation; experience building with foundation models and experience work