MACHINE LEARNING ENGINEER

At Armor, we are committed to making a meaningful difference in securing cyberspace. Our vision is to be the trusted protector and de facto standard that cloud-centric customers entrust with their risk. We strive to continuously evolve to be the best partner of choice, breaking norms and tirelessly innovating to stay ahead of evolving cyber threats and reshaping how we deliver customer outcomes. We are passionate about making a positive impact in the world, and we’re looking for a highly skilled and experienced talent to join our dynamic team.

Armor has unique offerings to the market so customers can a) understand their risk b) leverage Armor to co-manage their risk or c) completely outsource their risk to Armor.

Learn more at: https://www.armor.com

At Armor Defense, data enables us to provide valuable insights to our business, customers, and teams and is used to power our systems and solutions. We seek an experienced machine learning engineer to assist us in our objectives. The ideal candidate will have experience in training various types of models, along with natural curiosity and a creative mind. While doing all that is required to provide insights from our data, the ideal candidate may be asked to provide data that supports answers to various questions by connecting the dots to uncovering hidden opportunities that may realize the data’s full potential. As part of a team of specialists, the candidate will work to both improve upon existing visions, as well as help innovate and create new visions for the future.

Essential Duties and Responsibilities (Additional duties may be assigned as required)

• Assist in identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with engineering teams to assist in the development of data driven and AI augmented products.
• Execute analytical experiments to help solve problems across various domains and industries.
• Able to support a continuous learning model
• Identify relevant datasets for model needs and a deep understanding of developing features into a combined feature set.
• Ability to determine and utilize best practices regarding suitable algorithms and models to train; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns

• Five or more years of experience in machine learning development
• Experience and familiarity with Continuous Machine Learning pipelines
• Experience with binary, numeric, and categorical based models for anomaly detection, pattern recognition, and predictive modeling in the context of alerts and incidents
• Experience with the use of weighted loss functions, learning rate schedulers and adaptive optimizers for categorical based models.
• Advanced Data Engineering (ETL) skillset
• Experience with Excel, Microsoft Power Platform, MS SQL
• One or more programming languages (at least one of: Python, R, Julia, Rust)
• Experience in Azure Cloud is preferred
• Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects

Nice to Have:

• Bachelor’s degree (or equivalent experience) in Computer science with a focus on machine learning, statistics, applied mathematics, or related discipline
• SOC Analyst/Engineering background (preferred not required)
• Two or more years of project management experience dealing with data driven objectives
• (Optional) Professional certification

WHY ARMOR
Join Armor if you want to be part of a company that is redefining cybersecurity. Here, you will have the opportunity to shape the future, disrupt the status quo, and be a part of a team that celebrates energy, passion, and fresh thinking. We are not looking for someone who simply fills a role – we want talent who will help us write the next chapter of our growth story.

Armor Core Values:

• Commitment to Growth: A growth mindset that encourages continuous learning and improvement with adaptability in the face of challenges.
• Integrity Always: Sustain trust through transparency honesty in all actions and interactions regardless of circumstances.
• Empathy In Action: Active understanding, compassion and support to the needs of others through genuine connection.
• Immediate Impact: Taking initiative with swift, informed actions to deliver positive outcomes.
• Follow-Through: Dedication to delivering finished results with attention to quality and detail to achieve the desired outcomes.

Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually low to moderate. The work environment can be either in an office setting or remotely from anywhere.

Equal opportunity employer - it is the policy of the company to comply with all employment laws and to afford equal employment opportunity to individuals in all aspects of employment, including in selection for job opportunities, without regard to race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other consideration protected by federal, state or local laws.