Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, Artificial Intelligence, Search and Information RetrievalIndustries
Requirements
Candidates should possess a Bachelor's degree in computer science, math, or a related field, along with 6 or more years of professional experience. They should have experience working with search, recommendation, natural language processing, or other large systems involving machine learning, and proficiency in Python, Go, Java, C++, or other relevant programming languages.
Responsibilities
The Software Engineer, Machine Learning will invent new signals to improve the personalization of the search engine, train models to capture interactions between signals, design smarter ways to domain-adapt language models, discover new ways to combine LLMs with search engines, write robust code, and mentor junior engineers.
Skills
Data analysis
Model design and deployment
Python
Go
Java
C++
Search systems
Recommendation systems
Natural language processing
Large language models
Machine learning frameworks
Glean
AI-powered search tool for workplace productivity
About Glean
Glean enhances workplace productivity by providing an AI-powered search tool that works across all applications within a company. This tool utilizes deep learning-based Language Models to understand natural language queries, allowing users to find information more easily. It continuously learns from the specific language and context of a company, improving the relevance of search results without manual adjustments. Additionally, Glean offers a chat assistant that can analyze and summarize information from various company documents and conversations, further increasing efficiency. Unlike many competitors, Glean's focus on natural language processing and its ability to adapt to a company's unique context set it apart. The goal of Glean is to streamline information retrieval in the workplace, making it accessible and efficient for all types of organizations, from startups to large enterprises.
Palo Alto, CaliforniaHeadquarters
2019Year Founded
$637.1MTotal Funding
SERIES_ECompany Stage
Enterprise Software, AI & Machine LearningIndustries
501-1,000Employees