200+ applicants
Abnormal Security · 5 days ago
Machine Learning Engineer II
United States
Full-time
Remote
Mid Level
$160K/yr - $188K/yr
3+ years exp
Wonder how qualified you are to the job?
Maximize your interview chancesCyber SecurityEmail
Insider Connection @Abnormal 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
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
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)
Company
Abnormal Security
Abnormal Security is an email security company that protects enterprises and organizations from targeted email attacks.
501-1,000 employees
H1B Sponsorship
Abnormal Security 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
Trends of Total Sponsorships
2023 (10)
2022 (11)
2021 (16)
2020 (3)
Funding
Current Stage
Growth StageTotal Funding
$284MKey Investors
CrowdStrike Falcon FundInsight PartnersMenlo Ventures
2023-03-29Series Unknown· Undisclosed
2022-05-10Series C· $210M
2020-11-18Series B· $50M
Leadership Team
Evan Reiser
CEO and Co-Founder
Sanjay Jeyakumar
CTO, Co-Founder, and Head of R&D
Recent News
2024-05-23
Company data provided by crunchbase
