Machine Learning Engineer - Agent IQ - SF

Agent IQ is using conversation-driven artificial intelligence and machine learning to enable brands to scale customer engagement and workflows without a linear increase in cost of resources or decline in quality of engagement. The platform learns from human interaction to empower agents to do more, faster and better. Our technology is proven to improve customer satisfaction, agent efficiency, and profitability.

Our small team is doing ground-breaking work in building intelligent conversational agents which are disrupting how brands interact and build relationships with customers. Agent IQ is glad to be the platform of choice of some of the world's top companies with enterprise clients in the Americas, Europe, and Asia helping them humanize their engagement with millions more consumers. However, this is only the beginning. We're excited about the opportunities ahead to continue to create an even more differentiated product offering to the world, with deeper proprietary technologies.

To achieve this we're building an amazing team, and here’s where you come in...

Role Description:

As a ML/NLP/Large Data Engineer you will be responsible for building and improving ML models, modeling & experimentation frameworks and building out technical core of AgentIQ. You will be given opportunity to drive positive technology improvements and develop state of the art NLP/ML applications.

Responsibilities:

-Build and improve NLP/ML models at hearth of AgentIQ product 
-Build and improve infrastructure to support NLP/ML modeling, experimentation and deployment 
-Take ownership of NLP/ML trainer tools and data processing pipelines 
-Brainstorm and prototype algorithmic improvements 
-Develop customer specific and general machine intelligence 
-Contribute to deploying/monitoring/debugging models in production 
-Take ownership of NLP/ML trainer tools and data processing pipelines 
-Collaborate with platform teams on developing new tools and features needed for NLP/ML development and deployment 
-Create and maintain documentation 
-Provide internal training on applicable topics

Requirements:

-Passion for improving ML/NLP models and making them more robust and scalable 
-Thrive in a diverse, dynamic environment that leverages multiple tools and languages 
-The ability to communicate effectively with thoughtfulness and maturity 
-Make technology decisions that are best for the business of Agent IQ 
-Experience building large, production-quality NLP, speech, or deep learning systems 
-Strong software engineering and interpersonal skills 
-Ability and desire to quickly pick up on new topics and techniques 
-Ability to take an idea from conception and prototyping to deployment in production 
-Masters degree or equivalent in ML/NLP or related field

Our Environment: 
-AWS hosted infrastructure 
-Linux 
-Python 
-Tensorflow 
-Node.js 
-Docker

First application date:

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