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|Title:||Computer Vision / Deep Learning Engineer|
|Job Location:||San Francisco, California - United States|
|Salary:||$120,000.00 - $150,000.00 - US Dollars - Yearly|
|Employer Will Recruit From:||Nationwide|
This is a ground floor opportunity personally funded by a well-known public figure involved in the creation of computer vision, machine learning hardware and software that gathers and evaluates data from the real world whose products are sold into the real-estate, retail, and a wide variety of industries. I don't know much about the company and how attractive it is. I am working with the VP of engineering who has been slow responding but recently has become more active and raised the compensation level. This client only pays 15% so I would not kill myself doing a search until I learn more about the attractiveness of the company and their ability to hire quickly and painlessly.
In place of a job description, my client has provided the following ...
You have code samples to show us before the interview starts. Respect, honesty, and
hard-core engineering is what you believe in. You want to work with the latest and fastest
hardware there is. That said, you want its application to be meaningful, and the business
model of the company you work for to be rock solid. As rock solid as your design.
You are an engineering graduate. You have a history of shipping machine learning products.
You can share that history and you can demonstrate to company engineers that you were an implementation leader on those products. You love tinkering with available machine learning libraries. Mathematics (data interpretation and analysis) is your forte.
Good character, open, proactive and clear communications are key to success in this job.
Accurate estimates, and a drive to meet them, are a must. It is not sufficient if you consider
yourself smart. It is necessary that you consider yourself respectful, and crave respect from
You will report directly to the VP of Engineering. You will work closely with Program
Management and you will not be averse to take more responsibility.
?œ Full-time, hands-on research and development.
?œ BA/BS in software engineering or science from established and recognized
brick-and-mortar university or polytechnic.
?œ Experience with machine learning techniques, applied mathematics. Extra bonus for
experience with artificial neural networks (ANNs), specifically convolutional neural
networks (CNNs) and their usage in generic vision systems. Code samples will be
?œ Frequent communication with the existing team of hardware and software engineers.
?œ Strong and documented C/C++ analytical skills . Code samples will be required.
?œ Sound understanding of hardware and software development process.
?œ 7+ years of total experience in business and/or academia in areas related to data
analysis, mathematics and/or computer vision or machine learning.
?œ Ability to modify existing code, rather than start writing a parallel stack from the
University - Bachelor's Degree/3-4 Year Degree