Essential AI
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About
Essential AI builds full-stack AI products that mimic human problem-solving and learn existing ways of working. Their models answer mission-critical questions using natural language, drawing from data, documents, and communications. The company is based in San Francisco and is actively hiring for various roles in engineering and design. They are backed by prominent investors including March Capital and Thrive Capital.
Platform
Task
Features
• full-stack ai products
• shows its work with assumptions and facts grounded in data
• generates verifiable answers from data, documents, and communications
• uses natural language
• learns existing ways of working
• mimics human problem solving
Job Opportunities
Founding Product Designer
Essential AI provides full-stack AI solutions for the enterprise, focusing on natural language processing and data analysis to solve complex business problems.
Benefits:
Equity
401(k)
Health benefits
Daily onsite lunches and snacks
Experience Requirements:
6+ years of experience in building distributed and scalable backend systems
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Forward Deployed AI Engineer
Essential AI provides full-stack AI solutions for the enterprise, focusing on natural language processing and data analysis to solve complex business problems.
Benefits:
Equity
401(k)
Health benefits
Daily onsite lunches and snacks
Show more details
Member of Technical Staff: ML Infrastructure, Platform Engineer
Essential AI provides full-stack AI solutions for the enterprise, focusing on natural language processing and data analysis to solve complex business problems.
Benefits:
Equity
401(k)
Health benefits
Daily onsite lunches and snacks
Relocation assistance
Experience Requirements:
6+ years of relevant industry experience in leading the design of large-scale & production ML infra systems
Responsibilities:
Design, build, and maintain scalable machine learning infrastructure to support our model training, inference and applications
Design and implement scalable machine learning and distributed systems that enable training and scaling of LLMs
Help oversee and drive the vision of how we should build, test, and deploy models
Develop tools and frameworks to automate and streamline ML experimentation and management
Collaborate with other researchers and product engineers to bring magical product experiences through large language models
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