Computer vision engineer - All_ebt - San Francisco/Los Angeles

Job Description

We are seeking Speech Recognition and Computer Engineers to help lead the development and deployment of new AI technology for practical everyday problems that low-income Americans face. Members of the technology team work collaboratively as a group and with colleagues in engineering and product to devise and deploy new technologies for speech recognition, computer vision.

You will:

Participate in the whole scope of our application development where you will be working closely with our team in the design and implementation of algorithms, tools and methodologies in speech research, voice interface design, application prototyping, and development of our proprietary fin tech platform for food stamps

Take part in extending and improving components of our Ai platform

Successful candidates will have:

A very strong machine learning background with deep structured learning/hierarchical learning and statistical modeling techniques that can be applied to speech 

Strong software engineering skills in one or more of the following: Java, Python, and C++

Solid experience with building automatic speech recognition systems that can be integrated in an information retrieval process 

Solid experience with Kaldi

Curiosity to seek and understand causes of error in AI models and proven ability to propose novel and creative solutions

Comfort in being part of a highly collaborative start-up environment with a tight team where you will be involved in all aspects of the development: building infrastructure, data capture, and model training

Nice to Have:

Masters in relevant discipline is highly desirable, but others with strong academic backgrounds and equivalent experience are encouraged to apply

Perks: 
Own your own projects from conception to launch 
Work whenever you work best (flexible hours) 
Flexible vacation - take time off when you need it 
12 weeks maternity/paternity leave 
7 year post termination option exercise window (for employees who stay 2 years or more) vs the industry standard 90 days 

First application date:

Startuplifers

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