Senior Machine Learning Engineer
ReplicantSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer Software, Data & AnalyticsIndustries
Requirements
Candidates should have a strong background in machine learning and natural language processing, with experience in developing and deploying large-scale machine learning systems. Proficiency in programming languages such as Python is essential, along with familiarity with modern machine learning frameworks and libraries. A deep understanding of LLM modeling techniques and recommender systems is required, coupled with a passion for search and retrieval.
Responsibilities
The Senior Machine Learning Engineer will be responsible for developing, designing, and maintaining advanced applied LLM projects, including search result retrieval and recommender systems. They will participate in various NLP activities to refine and optimize model performance, continuously research the latest developments in NLP and large language models, and take end-to-end ownership of large and scalable machine learning systems, including data pipelines and model integration.
Skills
recommender systems
NLP
prompt refinement
retrieval-augmented generation
search
retrieval techniques
LLM modeling
Quora
Global knowledge sharing and AI integration platform
About Quora
Quora is a global platform for knowledge sharing that attracts over 400 million unique visitors each month. It allows users to share insights on a wide variety of topics, creating a community focused on learning and connection. Users include individuals looking for information, experts sharing their knowledge, and businesses engaging with a knowledgeable audience. Quora also features Poe, a platform that combines several AI language models like GPT-4 and DALL-E 3, enabling users to chat and explore these technologies in one place. Unlike many competitors, Quora's business model relies on targeted advertising to its large user base, allowing it to continuously expand its offerings to meet user needs.
Key Metrics
Mountain View, CaliforniaHeadquarters
2009Year Founded
$351.2MTotal Funding
LATE_VCCompany Stage
Consumer Software, AI & Machine Learning, EducationIndustries
1,001-5,000Employees