Large Data Engineer (NLP) AI / ML Enhanced Engagement for Enterprises

San Francisco, CA

Posted: 03/02/2018 Industry: Data Scientist Job Number: 23097
Category : Data Scientist
Location/City : CA - San Francisco
Area Code : 415
Job Type : 1: Full Time
Country/Locale :
Id : 23097


Large Data Engineer (NLP) AI / ML Enhanced Engagement for Enterprises
San Francisco, CA 94103 (415)
Company
Our client 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 teaches itself through human interaction to empower agents to do more, faster and better. Our technology is proven to improve customer satisfaction, agent efficiency, and profitability.
Their small team is doing ground-breaking work in building intelligent conversational agents which are disrupting how brands interact and build relationships with customers. Our client 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. They'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 they'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 the technical core. 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 the 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.
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.
Tech Environment
AWS hosted infrastructure
Linux
Python
Tensorflow
Node.js
Docker
Perks
Competitive salary + equity.
Full medical/dental/vision benefits.
Tons of snacks in the office.
All you can drink coffee.
Convenient office within a 7 minute walk from BART/Muni Underground.
Google apps, Dropbox, Drive, Slack, Mac (or PC) everything.

Jon Piggins / Redfish Technology
Recruiting Manager
O: 208.450.9511
www.redfishtech.com
www.linkedin.com/in/jonpiggins/
Building Growth-Mode Tech Companies with Hand-Picked Talent Since 1996

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