Abnormal AI · 2 months ago
Staff Machine Learning Engineer - Message Security Detection
United States
Full-time
Remote
Lead/Staff
$230K/yr - $270K/yr
8+ years expAbnormal AI is a leading cybersecurity startup focused on protecting enterprises against evolving threats. They are seeking a Staff Machine Learning Engineer to join their Attack Detection team, responsible for building a high-recall Detection Engine and guiding the development of machine learning models to enhance detection capabilities.
Artificial Intelligence (AI)Cyber SecurityEmailInformation TechnologyNetwork Security
Responsibilities
Serve as a technical leader and subject matter expert, providing architectural guidance and mentorship across multiple machine learning workstreams
Architect and design generalizable ML systems to address the most critical gaps in our detection capabilities, moving beyond incremental improvements
Reason holistically about our entire detection engine, defining the architectural vision for how different classes of models—from heuristic and behavioral to complex deep learning systems—should integrate and operate
Drive the technical roadmap for foundational, long-term projects, such as evolving our global model training paradigms and creating centralized ML capabilities that can be leveraged as platforms by other teams
Provide technical mentorship and feedback on ML decisions across different workstreams, elevating the performance of the entire team
Own the end-to-end ML lifecycle: from data analysis, feature engineering, and model prototyping to working with infrastructure teams on productionization, deployment, and monitoring of large-scale models
Investigate complex model performance issues, applying a deep theoretical understanding of machine learning and deep learning to diagnose and resolve them
Continuously adapt our systems to new, unseen attacks by developing and refining our automated model retraining and evaluation pipelines
Qualification
Required
8+ years of experience designing and building high-impact, customer-facing machine learning applications
Proven experience working on ML at scale with direct product impact in mature ML industries such as recommendation systems, ad tech, quantitative finance, or fraud detection
Strong grasp of the theoretical limitations of deep learning models and a systematic approach to investigating and debugging poor model performance
Demonstrated experience in the productionization of large-scale ML models in fast-feedback environments
Ability to reason about abstract system gaps and propose generalizable, architecturally sound ML solutions, not just point fixes
Expertise across the entire ML lifecycle, from data exploration and feature engineering to model deployment and online scoring
Fluency in Python and ML frameworks like Scikit-learn, PyTorch, or TensorFlow
BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
Preferred
MS or PhD degree in Computer Science, Electrical Engineering, or another related engineering/applied sciences field
Experience leading multi-quarter, cross-functional ML projects
Experience with MLOps tools and building scalable data pipelines
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
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