Machine learning specialist

Stealth Silicon Valley Startup in Research and Healthcare AI with 182M monthly visits seeking QA Automation Developer in our QA Team.

Help us advance our next-level AI-enabled technologies.

We're looking for someone with:

1. Basic Statistics knowledge
2. Basic NLP knowledge
3. Intermediate Python programming knowledge
4. Familiarity with ML algorithms and implementation using scikit-learn
5. Excellent communication skills
6. Responsible working style and outstanding organizational and problem-solving skills
7. Ability to handle high-pressure situations calmly and methodically
8. Ability to understand complex systems, strategic planning skills, and extreme attention to detail
9. Proficiency in written and spoken English skills

Nice to haves:

1. Experience with any of the following programs: R, Octave, Matlab
2. Experience with ML tools and libraries like Weka, Knime, Scikit-learn (Python), MLlib (Spark), caret (R), tensorflow, keras
3. Experience with SQL, postgres, mongodb, elasticsearch
4. Experience with nltk, StanfordCoreNLP

You will:

1. Analyze data, build Machine Learning algorithms
2. Come up with different strategies for improving the quality of our service

Company details

We are a fast-growing Silicon Valley company that unites engineers creating technology products and building software companies across several industry verticals — some of which are used by over 100 million individuals globally. Over 80 individuals are distributed throughout North America, Europe, and Asia. The company is 6 years old and has been profitable since day one. We have 6 offices in 3 different continents, making us one of the largest projects in existence. We have offices in three locations, but almost everyone works remotely. Our entire continuous integration and deployment process is highly automated — you will be able to push changes to production in minutes rather than days or weeks. All of our dev environments are in the cloud so you can get up and running in a few minutes. All of our dev environments are cloud-based so you can get up and running in a few minutes