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The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips.
Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030.
Applied Research Engineer, Agents
Hebbia
On-site
San Francisco, CA, United States
Full-time
$160,000 -
$300,000
About Hebbia
About 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 working with Attention based NLP models is a plus. This role is best suited for an individual who can excel at both running experiments with novel LLM techniques as well as building production grade, LLM-enabled software systems - embedding directly in the software development lifecycle.
This role requires prior expertise in NLP, machine learning systems, and LLM evaluation; experience building with foundation models and experience working with Attention based NLP models is a plus. This role is best suited for an individual who can excel at both running experiments with novel LLM techniques as well as building production grade, LLM-enabled software systems - embedding directly in the software development lifecycle.
Qualifications
Bachelor's degree in Computer Science, Engineering, or related field.
Master’s degree in Computer Science, Mathematics, Machine Learning or a related field is a plus.
7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems.
Strong programming skills in Python.
Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika.
Experience with Search and Indexing technologies.
Proficient in machine learning techniques and algorithms.
Experience working with foundational models and corresponding APIs.
Knowledge of statistical analysis and data scraping techniques.
Prior experience in developing NLP models and systems.
Experience with prompting and building LLM applications and agents is a plus.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Strong capability to translate research into production software systems.
Bonuses:
Experience building agentic systems or LLM enabled products.
Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).
Master’s degree in Computer Science, Mathematics, Machine Learning or a related field is a plus.
7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems.
Strong programming skills in Python.
Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika.
Experience with Search and Indexing technologies.
Proficient in machine learning techniques and algorithms.
Experience working with foundational models and corresponding APIs.
Knowledge of statistical analysis and data scraping techniques.
Prior experience in developing NLP models and systems.
Experience with prompting and building LLM applications and agents is a plus.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Strong capability to translate research into production software systems.
Bonuses:
Experience building agentic systems or LLM enabled products.
Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).
Responsibilities
Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting edge insight generation systems.
Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader.
You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms.
Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company.
Collaborate with cross-functional teams to improve NLP/LLM capabilities in app.
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 that systems are efficient, maintainable and well monitored.
Iterate on validation and testing frameworks.
Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader.
You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms.
Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company.
Collaborate with cross-functional teams to improve NLP/LLM capabilities in app.
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 that systems are efficient, maintainable and well monitored.
Iterate on validation and testing frameworks.
Benefits
PTO: Unlimited
Insurance: Medical + Dental + Vision + 401K
Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
Fertility benefits: $15k lifetime benefit
New hire equity grant: competitive equity package with unmatched upside potential
Insurance: Medical + Dental + Vision + 401K
Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
Fertility benefits: $15k lifetime benefit
New hire equity grant: competitive equity package with unmatched upside potential
