Senior Machine Learning Engineer @ Abnormal Security | Jobright.ai
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Abnormal Security · 5 days ago

Senior Machine Learning Engineer

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Responsibilities

Design and implement systems for email detection by combining rules, models, and business inputs.
Identify new feature groups or ML model approaches to enhance detection efficacy.
Understand and improve detection pipelines and data flow for debugging.
Train models on datasets to enhance model efficacy on specialized attacks.
Monitor and enhance False Positive rates and efficacy rates for message detection products.
Contribute to building a world-class detection engine across all layers.
Lead the team’s roadmap, strategy, and mentor junior engineers.

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.

PythonMachine LearningSQLPandasSparkProject ManagementProblem-SolvingTeamworkComputer ScienceElectrical EngineeringBig DataStatisticsCyber Security

Required

Track record of success in translating business requirements into scalable, maintainable systems with a bias toward simpler but iterative systems.
4+ Experience with production ML systems - understands the pillars of a modern ML stack and the development, maintenance and tuning processes of ML models.
Uses a systematic approach to debug both data and system issues within ML / heuristics models.
Fluent with Python and machine learning libraries like numpy and scikit-learn.
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.
Independently responsible for the entire lifecycle of projects or features including eng design, development, and deployment.
Works well with other stakeholders - has worked with cross-functional teams to drive projects over the finish-line.
Machine learning academic background (Bachelor's degree in Computer Science or related fields).

Preferred

MS degree in Computer Science, Electrical Engineering or other related engineering field
Experience with big data or statistics
Familiarity with cyber security industry

Benefits

Bonus
Restricted Stock Units (RSUs)

Company

Abnormal Security

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Abnormal Security is an email security company that protects enterprises and organizations from targeted email attacks.

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 Stage
Total Funding
$284M
Key Investors
CrowdStrike Falcon FundInsight PartnersMenlo Ventures
2023-03-29Series Unknown· Undisclosed
2022-05-10Series C· $210M
2020-11-18Series B· $50M

Leadership Team

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Evan Reiser
CEO and Co-Founder
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Sanjay Jeyakumar
CTO, Co-Founder, and Head of R&D
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Company data provided by crunchbase
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