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Machine Learning Engineer - job 2 of 2

Hi, we’re Armorblox!

We help organizations communicate more securely over email and other cloud office applications with the power of Natural Language Understanding (NLU). The Armorblox platform connects over APIs and analyzes thousands of signals to understand who users are, what they do, and how they communicate. With this context, Armorblox can stop advanced email attacks like business email compromise, and also help organizations stay compliant by protecting their sensitive data from falling into the wrong hands. Security teams also become more proactive after using Armorblox because the platform automates away most of the manual and repetitive tasks involved in responding to user-reported email threats.

We create the VERY BEST People-first Company Culture through thoughtful programs that elevate and engage our People. We are proud to have an industry-leading product, a gender score that ranks in the top 20%, and a diversity score that ranks in the top 30%. We are honored Armorblox was awarded Great Place to Work, Omni Award for Outstanding Wellbeing and Benefits, Best Company Leadership, Best CEOs for Diversity, Best Company Compensation, and was featured in the 2019 Forbes AI 50 list and was named a 2020 Gartner Cool Vendor in Cloud Office Security. Founded in 2017, Armorblox is headquartered in Sunnyvale, CA and backed by the very best investors in Silicon Valley including General Catalyst and Next47.

As a key member of the Machine Learning team, you will be responsible for building core components of the Armorblox security products. You will enjoy working in a culture of constant learning. You will be actively training, evaluating and deploying machine learning models to solve challenging Natural Language and Computer vision problems.

Role

Develop highly scalable classifiers and other models leveraging machine learning, deep learning and algorithmic approaches for real world, large scale problems.
Apply the latest advances in deep learning and machine learning to increase efficacy and performance.
Integrate, deploy, test and verify your algorithms and models through simulation and in real-world environments
Design, develop, test, deploy, maintain and improve software.

Requirements

Master’s degree or Bachelor’s degree in Computer Science, Data Science, Electrical Engineering or related fields
2+ years of work experience as a machine learning engineer, data scientist and software developer
Solid background and knowledge in machine learning and deep learning. Proficiency in various neural networks architectures used in Deep Learning, Reinforcement Learning etc.
Solid familiarity with one of the deep learning frameworks: Pytorch, Tensorflow, Keras, etc.
Strong understanding of data structures, algorithms, and application to real-world projects
Proficiency in one or more of the following languages - GoLang, Python, Java, C/C++
Familiarity with NoSQL, SQL, relational and graph data stores

Plus

Master’s degree in Computer Science, Electrical Engineering or related fields
Relevant professional experience with one or more of the following: Natural Language Understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.
Enjoy working in a fast-paced, rapidly changing environment
Ability to continuously learn and work both independently and as part of a team

Our People are our most important asset.

We believe in recruiting the best talent that enhances our culture, embodies our values and empowers Armorblox. We center our programs and initiatives around our People and are committed to an inclusive and diverse team through programs and initiatives, equal pay, competitive benefits, and more.

Armorblox is an equal opportunity employer.

We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.

Armorblox Glassdoor Company Review

4.5