Abnormal AI · 3 hours ago
Machine Learning Engineer II
United States
Full-time
Remote
Mid Level
$168K/yr - $198K/yr
3+ years expAbnormal AI is a leading cybersecurity startup focused on protecting customers against evolving threats. They are seeking a Machine Learning Engineer to design and implement systems for email detection, improve model efficacy, and contribute to the overall roadmap of the Attack Detection team.
Artificial Intelligence (AI)Cyber SecurityEmailInformation TechnologyNetwork Security
Responsibilities
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
Qualification
Required
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 and tensorflow
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
Preferred
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
Benefits
Bonus
Restricted stock units (RSUs)
Benefits
Company
Abnormal AI
Abnormal AI is the leading AI-native human behavior security platform.
1001-5000 employees
H1B Sponsorship
Abnormal AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
Funding
Current Stage
Late StageTotal Funding
$534MKey Investors
Wellington ManagementCrowdStrike Falcon FundInsight Partners
2024-08-06Series D· $250M
2023-03-29Series Unknown
2022-05-10Series C· $210M
Leadership Team
Evan Reiser
Founder & CEO
Sanjay Jeyakumar
CTO, Co-Founder, and Head of R&D
Recent News
Company data provided by crunchbase