Hebbia
Overview
Hebbia is an AI platform for finance professionals that generates alpha and drives upside. Founded in 2020, Hebbia powers investment decisions for leading firms and trades on matrix-like AI-driven analysis to surface signals, opportunities, and faster decision-making. Hebbia aims to be a competitive, indispensable product that unlocks meaningful insights for finance and legal use cases. The role is for an Applied Research Engineer on the Agents team, focused on building and enabling agentic capabilities across the Hebbia product suite and integrating latest NLP/LLM research into production software. The Role
As an Applied Research Engineer, you will bridge research, industry, and application to shape the future of Hebbia’s core natural language processing systems. You will own experiments and proofs of concept that combine current research with high-value customer problems, and you will collaborate with foundation model providers to beta test models and develop guidance on model strengths. This role requires expertise in NLP, machine learning systems, and LLM evaluation; experience with foundation models and attention-based NLP is a plus. It is suited for someone who can run experiments with novel LLM techniques and build production-grade, LLM-enabled software that integrates into the software development lifecycle. Responsibilities
Focus on LLMs to analyze and interpret complex data types and derive cutting-edge insight generation systems. Iterate and explore new LLM and NLP techniques to maintain Hebbia’s industry-leading position. Leverage statistics, programming, and machine learning to develop and deploy data-driven models and algorithms. Contribute to solving business problems, improving processes, and enhancing performance across the company. Collaborate with cross-functional teams to improve NLP/LLM capabilities in applications. Stay up-to-date with the latest advancements and research in the space. Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications. Ensure systems are efficient, maintainable, and well monitored; iterate on validation and testing frameworks. Who You Are
Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree is a plus. 7+ years of software development experience at a venture-backed startup or top technology firm, focusing on applied machine learning systems. Strong programming skills in Python. Experience with NLP and text processing libraries (e.g., NLTK, SpaCy, Apache Tika). Experience with search and indexing technologies. Proficient in machine learning techniques and algorithms; experience with foundational models and corresponding APIs. Knowledge of statistical analysis and data scraping techniques; experience developing NLP models and systems. Experience with prompting and building LLM applications and agents is a plus. Excellent problem-solving, analytical, and communication skills; strong teamwork abilities. Ability to translate research into production software systems. Bonuses: experience building agentic systems or LLM-enabled products; frequent user of AI tools during development lifecycle (e.g., Cursor, Claude Code). Compensation
The salary range for this role is $160,000 to $300,000, covering levels from junior to principal. Final leveling is determined through our assessment process, and exceptions to this range may be made for candidates with qualifications outside the standard framework. Life @ Hebbia
PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + DoorDash dinner credit for late stays Parental leave policy: 3 months non-birthing, 4 months for birthing parent Fertility benefits: $15k lifetime New hire equity grant: competitive equity package with upside potential Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Technology, Information and Internet We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Hebbia is an AI platform for finance professionals that generates alpha and drives upside. Founded in 2020, Hebbia powers investment decisions for leading firms and trades on matrix-like AI-driven analysis to surface signals, opportunities, and faster decision-making. Hebbia aims to be a competitive, indispensable product that unlocks meaningful insights for finance and legal use cases. The role is for an Applied Research Engineer on the Agents team, focused on building and enabling agentic capabilities across the Hebbia product suite and integrating latest NLP/LLM research into production software. The Role
As an Applied Research Engineer, you will bridge research, industry, and application to shape the future of Hebbia’s core natural language processing systems. You will own experiments and proofs of concept that combine current research with high-value customer problems, and you will collaborate with foundation model providers to beta test models and develop guidance on model strengths. This role requires expertise in NLP, machine learning systems, and LLM evaluation; experience with foundation models and attention-based NLP is a plus. It is suited for someone who can run experiments with novel LLM techniques and build production-grade, LLM-enabled software that integrates into the software development lifecycle. Responsibilities
Focus on LLMs to analyze and interpret complex data types and derive cutting-edge insight generation systems. Iterate and explore new LLM and NLP techniques to maintain Hebbia’s industry-leading position. Leverage statistics, programming, and machine learning to develop and deploy data-driven models and algorithms. Contribute to solving business problems, improving processes, and enhancing performance across the company. Collaborate with cross-functional teams to improve NLP/LLM capabilities in applications. Stay up-to-date with the latest advancements and research in the space. Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications. Ensure systems are efficient, maintainable, and well monitored; iterate on validation and testing frameworks. Who You Are
Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree is a plus. 7+ years of software development experience at a venture-backed startup or top technology firm, focusing on applied machine learning systems. Strong programming skills in Python. Experience with NLP and text processing libraries (e.g., NLTK, SpaCy, Apache Tika). Experience with search and indexing technologies. Proficient in machine learning techniques and algorithms; experience with foundational models and corresponding APIs. Knowledge of statistical analysis and data scraping techniques; experience developing NLP models and systems. Experience with prompting and building LLM applications and agents is a plus. Excellent problem-solving, analytical, and communication skills; strong teamwork abilities. Ability to translate research into production software systems. Bonuses: experience building agentic systems or LLM-enabled products; frequent user of AI tools during development lifecycle (e.g., Cursor, Claude Code). Compensation
The salary range for this role is $160,000 to $300,000, covering levels from junior to principal. Final leveling is determined through our assessment process, and exceptions to this range may be made for candidates with qualifications outside the standard framework. Life @ Hebbia
PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + DoorDash dinner credit for late stays Parental leave policy: 3 months non-birthing, 4 months for birthing parent Fertility benefits: $15k lifetime New hire equity grant: competitive equity package with upside potential Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Technology, Information and Internet We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr