Staff Applied AI Engineer, Hebbia
$215-275k
+ Equity plan
5 days a week in office (SoHo, NY)
AI-powered search engine
Be an early applicant
AI-powered search engine
21-100 employees
Be an early applicant
$215-275k
+ Equity plan
5 days a week in office (SoHo, NY)
21-100 employees
Company mission
To transform how humans surface and acquire knowledge.
Role
Who you are
- 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
- 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
What the job involves
- As a Staff level Applied AI 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
- 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
Our take
Founded in 2020, Hebbia is an AI-powered search engine that processes complex requests through the use of deep learning techniques and models that aid in knowledge graph work, semantic analysis, and AI.
The first product the company produced was a Chrome plugin that upgrades the search function to reach beyond traditional text pattern matching, and instead begins to comprehend the query and how answers might be given on the page.
Raising funding from Peter Thiel, Index Ventures, Jerry Yang (Yahoo founder), and Ram Sriram (one of the first Google investors) to name a few, capital has been put towards building the engineering team and accelerating the development of products on the platform, as well as expanding its customer base into that of the professional services industries.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Jul 2024
$130m
SERIES B
Jul 2022
$28.6m
EARLY VC
Total funding: $159.7m
Company benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Daily catered lunch
- Unlimited PTO
Company values
- Your work is a craft you want to master
- You thrive in ambiguity and approach new challenges with optimism
- You appreciate diverse perspectives and uncommon ideas
Company HQ
Civic Center, New York, NY
Articles
Leadership
George Sivulka
(CEO)Held Research Scientist positions at NASA, SLAC National Accelerator Laboratory and the Wu Tsai Neurosciences Institute.
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