Machine Learning Engineer

  • BHO Tech
  • San Francisco, CA, USA
  • Sep 20, 2020
Full time Engineering

Job Description

Hate passwords? So do we. We believe that within five years, passwords will no longer be the predominant method of authentication.

We are building a revolutionary identity platform based on implicit authentication. Our solution allows people to identify themselves in a unique way that is extremely difficult to forge or crack. Best of all, we are doing it in a way that respects user privacy.

We are looking for an engineer who is comfortable with crafting Machine Learning algorithms deep, shallow or otherwise.

At the end of the day, you should enjoy these two things: Doing math. Writing code. Clean production quality code.

If you think you have the answers/(mis)informed opinions on one or more of the following questions, we'd like to hear from you!

1: What is in your opinion, the biggest drawback of harnessing the 'Inception score' as a metric to evaluate a generative model quantitatively ?

2: Do weight constrained deep-nets such as Binary-Nets still retain the ability to shatter the training set?

3: Do you think that the problem of counting independent sets in a bipartite graph is not #P-complete but #BIS? Why so?

As language/platform agnostic as we are (we use Lua, Python, Julia and R on a daily basis), we expect you to be unreasonably good at and evangelize at least one of the tuples in the Cartesian product of L X P X O where L={Python, Scala, Julia, R, Lua, C++, Java}, P={Scikit-learn, Torch/Autograd, Caffe, Keras with Theano/TensorFlow, Chainer}, and O={Ubuntu, OS X, RHEL / CentOS / Fedora} and pick things up when required.

If you think this might be a good fit for you, drop us a message with your favorite moment in the sun (publication, github code-base, live-project link) and *answers at least one* of the above questions.

Skills

Python, C++, Machine Learning, Machine Learning, Data Science, Python, Perl, R, scikit-learn, theano, Keras, Caffe Torch7 Theano, TensorFlow, • Deep Learning : Theano-Keras-scikit learn

Compensation

$100K – $130K and higher (DOE)
0.0% – 0.25%

Visa Sponsorship

Not available


Best Regards,
Kris
Kris Young
Account Manager
BHO Tech
San Jose, San Francisco CA
Phone: 866 816-1615 x 823
kris@bhotech.com
www.bhotech.com