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.