Remote - Canada Full-time

About the Role

Abnormal Security is looking for a Machine Learning Engineer to join the Message Detection - Attack Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. That’s what makes our novel behavioral-based approach so…Abnormal. Abnormal has constantly been named as one of the top cybersecurity startups and our behavioral AI system has helped us win various cybersecurity accolades resulting in being trusted to protect more than 20% of the Fortune 500 ( and ever growing ).

In a landscape where a single successful attack can lead to financial losses of millions of dollars, the Attack Detection team plays the central role of building an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency. The Attack Detection team’s mission statement is to provide world-class detector efficacy to tackle changing attack landscape using a combination of generalizable and auto trained models as well as specific detectors for high value attack categories.

This team is solving a multi-layered detection problem, which involves modeling communication patterns to establish enterprise-wide baselines, incorporating these patterns as robust signals, and combining these signals with contextual information to create extremely precise systems. The team builds discriminative signals at various levels including message level (eg. presence of particular phrases), sender-level (eg.frequency of sender) and recipient level (eg.likelihood of receiving a safe message). These signals are then combined and utilized to train highly accurate model based as well as heuristic detectors. Additionally, to continuously adapt to new unseen attacks, the team builds out different stages in our automated model retraining pipelines including data analytics and generation stages, modeling stages, production evaluation stages as well as automated deployment stages.

This role would also have an opportunity to have a significant impact on the overall charter, direction and roadmap of the team. The Machine Learning Engineer would be involved in understanding the domain of false negatives i.e. the current and future attacks which can cause significant customer workflow disruption. They would help define the technical roadmap required to address the most pressing customer problems and simultaneously operate our detection decisioning system at an extremely high recall.

What you will do

• Design and implement systems that combine rules, models, feature engineering, and business and product inputs into an email detection product, with senior engineer guidance.

• Understand features that distinguish safe emails from email attacks, and how our model stack enables us to catch them.

• Identify and recommend new features groups or ML model approaches that can significantly improve detection efficacy for a product. Work with infrastructure & systems engineers to productionize signals to feed into the detection system.

• Writes code with testability, readability, edge cases, and errors in mind.

• Train models on well-defined datasets to improve model efficacy on specialized attacks

• Actively monitor and improve FN rates and efficacy rates for our message detection product attack categories, through feature engineering, rules and ML modeling.

• Analyze FN and FP datasets to categorize capability gaps and recommend short term feature and rule ideas to improve our detection efficacy.

• Contribute in other areas of the stack: building and debugging data pipelines, or presenting results back to customers in our tools when the occasion arises

Must Haves

• 3+ years experience designing, building and deploying machine learning applications in one of the domains of text understanding, entity recognition, NLP experience, computer vision, recommendation systems, or search. 1+ years of experience with writing stable and production level pipelines for model training and evaluation leading to reproducible models and metrics.
• Experience with data analytics and wielding SQL+pandas+spark framework to both build data and metric generation pipelines, and answer critical questions about system efficacy or counterfactual treatments.
• Ability to understand business requirements thoroughly and bias toward designing a simplest yet generalizable ML model / system that can accomplish the goal. Uses a systematic approach to debug both data and system issues within ML / heuristics models.
  Fluent with Python and machine learning toolkits like numpy, sklearn, pytorch, keras, etc.
• Effective software engineering skills who can find answers quickly from code base and writes structured, readable, well tested and efficient code.
• BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field

Nice to Have

• MS degree in Computer Science, Electrical Engineering or other related engineering field
• Experience with big data, statistics and Machine Learning
• Experience with algorithms and optimization

This position is not:

• A role focused on optimizing existing machine learning models
• A research-oriented role that's two-steps removed from the product or customer
• A statistics/data science meets ML role

#LI-NT1

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click If you would like more information on your EEO rights under the law, please click

Export Compliance Notice:

This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization. The Company may delay commencement of employment, rescind an offer of employment, terminate employment, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions. As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is committed to protecting your privacy. Please review our Abnormal AI Applicant Privacy Policy for full information about how Abnormal AI uses your personal information. By submitting an application you confirm that you have read and understand the Abnormal AI Applicant Privacy Policy*.*

About Abnormal AI

We're one of the world's fastest growing cybersecurity companies, on a mission to protect the modern workplace from the most pressing threats. Our AI-native technology was built from the ground up to tackle forward-looking security challenges, and our team works with bleeding-edge technology to keep our customers and their people safe as attacks grow ever more sophisticated. Our team is what makes us successful, which is why we're committed to a culture of learning, ownership, and high performance, where you'll have the opportunity to accelerate your growth and unlock excellence with the support of talented colleagues.

Our Benefits

Taking care of our team goes beyond the office. Our compensation and benefits philosophy is designed to put attract, motivate, and retain top talent: Competitive Compensation We pay competitively to attract, reward, and retain top talent in the market

Equity is an important part of our total comp strategy

When the company does well, we all do well. Equity is an important and exciting part of our total compensation strategy as a pre-IPO startup. We’re guided by the belief our team members should share in the financial success of our company and grant equity accordingly.

Flexible PTO

All regular salaried team members enjoy flexible PTO. We want team members to grow with us, and a big part of that is making sure our team has the opportunity to rest and recharge. We also observe 12 paid holidays every year.

Generous Healthcare Coverage for You and Your Family

Taking care of our team goes beyond the office. In the US, we cover 100% of employee health care premium costs, and up to 100% for dependents, depending on the plan. Internationally, we offer similarly generous coverage, customized to each country in which we operate.

Fully Distributed Workforce

Operating as a globally-distributed, majority remote company means we get to work with talented folks, no matter where they live. We prioritize a balance of deep focus time with Zoom meetings, and regular in-person events. As a fast growing startup, we continuously review, improve, and personalize our benefits offerings based on the team’s input. Don’t see something that’s important to you? Let us know!

Our Interview Process

We value transparency at Abnormal, and our interview process is no exception.

Inclusion Matters

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click If you would like more information on your EEO rights under the law, please click

Privacy Policy

Learn more about Abnormal's Privacy Policy

Recruiting Imposter Alert

We have been made aware that there are potential scammers posing as Abnormal AI recruiters. Please ensure that any communication you have with our recruitment team comes from an official Abnormal email domain. Your safety and privacy are important to us, and we will never request sensitive personal information outside of our secure application process. Thank you for helping us maintain a secure and trustworthy application experience. Should you encounter what you believe to be a scamming attempt at any time in your recruiting process, please let us know at security@abnormalsecurity.com