Senior Data Quality Engineer Machine Learning / Speech Analytics / NLU
San Francisco, CA
Location/City : CA - San Francisco
Area Code : 415
Job Type : 1: Full Time
Id : 23273
#23273 Senior Data Engineer Machine Learning / Speech Analytics / NLU
Our client is a rapidly growing, well-funded, startup in downtown San Francisco and an industry leader in speech analytics. Clients like Twilio, Amazon Web Services, Cisco, Nasdaq, and C-Span are already optimizing their sales through their enabled, predictive insights. Business intelligence and analytics is going to be a 20 billion dollar industry by 2018 and is already one of the most profitable, fastest growing sectors of tech.
Harnessing the power of big voice , they are gaining traction in the market, doubling volume every quarter, and looking to expand their team to scale growth. Launched by experienced and successful startup leaders and backed by reliable investors, we are searching for top talent to join our client s dedicated team of engineers.
What are we building?
Cloud-scale APIs for speech recognition, natural language processing, and predictive analytics.
Highly scalable, distributed microservices that run across 10,000 CPU cores in an architecture designed for 1 billion minutes per month.
A seamless developer experience and showcase UX for voice/speech analytics applications.
What will you be working on?
You will help ensure that our speech analytics platform produces results that are accurate, consistent, and actionable.
You will build statistical, quantitative, and functional tests to validate that:
-our in-house speech recognition engine remains market-leading.
-our keyword analytics are comprehensive and relevant.
-our predictive models are helping our customers automate their businesses.
Who are you?
An experienced quality engineer with an extensive statistical background.
Building statistical test models for speech recognition, keyword analysis, and classification.
Testing the accuracy of our transcripts.
Integrating to run through CI pipeline.
Prior experience developing statistical test models.
Comfortable with Python, R, or Julia.
Comfortability with TestNG or JUnit.
Python data science stack experience (numpy, scipy, Jupyter).
Prior experience developing test frameworks.
Familiarity with voice analytics or API testing.
Experience with Continuous integration.
In addition to a competitive salary, 401K, full health benefits, and unlimited PTO, we offer an incredibly generous equity package, a vibrant office culture, work-life balance, all the snacks you can imagine, beers on Fridays, group activities, and best of all a highly talented and diverse team to collaborate and grow with.
You will lead teams and projects, have immense ownership over your work, be at the forefront of innovation, practice and learn exceptionally marketable skills in a tech-focused company, work in a high-performing team, and be an integral contributor to a powerful platform.