AI Jobs
Find the latest job opportunities in AI and tech
AI Jobs
Find the latest job opportunities in AI and tech
Applied Scientist - NLP
TWO builds immersive AI experiences using its multilingual, cost-efficient SUTRA language models. They offer API access and various applications like ChatSUTRA, ZAPPY, and Geniya.
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Engineer - Machine Learning
TWO builds immersive AI experiences using its multilingual, cost-efficient SUTRA language models. They offer API access and various applications like ChatSUTRA, ZAPPY, and Geniya.
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DevOps
Yobi provides AI-powered communication and customer service solutions with features such as live transcription, sentiment analysis, and custom voices, integrating with various business tools.
Experience Requirements:
3-5 years of experience
Other Requirements:
Self-classified Linux Guru
Proficient in Bash scripting
Meticulous attention to detail, organization, & effective communication
Experience in operating systems (Linux), RDBMS management (MySQL, Mongo DB), cloud platforms (Google, AWS, Twilio), web hosting services
Responsibilities:
Deploying, automating, maintaining, troubleshooting, and improving systems to keep backend infrastructure running smoothly
Ongoing documentation
Analysis of logs, events, and failures
Working in operating systems (Linux), RDBMS management (MySQL, Mongo DB), cloud platforms (Google, AWS, Twilio), web hosting services
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Compiler Engineer
Untether AI provides high-performance, energy-efficient AI inference accelerators for various industries, from cloud to edge deployments.
Benefits:
20 vacation days
Day one health benefits
Unlimited sick days
Stock options
Free lunch once a week
Education Requirements:
Computer Science, Engineering or related degree, preferably MS or PhD
Experience Requirements:
2+ years of related experience
Other Requirements:
Thorough understanding of deep neural nets
Experience developing the internals of modern optimizing compilers
Understanding of advanced optimization techniques
Responsibilities:
Build software that maps a neural net onto our hardware
Devise and implement multiple data layout strategies
Build a tool that will solve a network layout for a set of constraints within the hardware given the available strategies
Implement efficient mappings between data layouts
Evaluate current and proposed hardware architecture for future products
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