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Machine Learning Engineer II

1 week ago
United States
Full-time
Mid Level
Machine Learning Engineer
Software Development
Apache Spark Computer Vision Feature Engineering Machine Learning NLP NumPy Pandas Python PyTorch Scikit-learn SQL Statistics TensorFlow
Apply Now
Abnormal AI

Abnormal AI

Abnormal AI provides advanced email security solutions designed to block malicious email attacks, including credential phishing, business email compromise, and account takeover.

Internet Software & Services
Founded 2018
View All Jobs 35

Description

  • Design and implement systems that combine rules, models, feature engineering, and business and product inputs into an email detection product.
  • Understand the features that distinguish safe emails from email attacks and how the model stack detects them.
  • Identify and recommend new feature groups or ML model approaches to improve detection efficacy.
  • Work with infrastructure and systems engineers to productionize signals for the detection system.
  • Train models on well-defined datasets to improve model efficacy on specialized attacks.
  • Monitor and improve false negative and efficacy rates across message detection attack categories.
  • Analyze false negative and false positive datasets to identify capability gaps and recommend short-term improvements.
  • Build and debug data pipelines and present results back to customers when needed.

Requirements

  • 3+ years of experience designing, building, and deploying machine learning applications in text understanding, entity recognition, NLP, computer vision, recommendation systems, or search.
  • 1+ years of experience writing stable, production-level pipelines for model training and evaluation with reproducible models and metrics.
  • Experience with data analytics using SQL, pandas, and Spark to build data and metric generation pipelines and answer system-efficacy questions.
  • Ability to understand business requirements and design the simplest generalizable ML model or system that meets the goal.
  • Experience debugging data and system issues within ML or heuristic models using a systematic approach.
  • Fluency with Python and ML toolkits such as numpy, sklearn, pytorch, and tensorflow.
  • Effective software engineering skills, including writing structured, readable, well-tested, and efficient code.
  • Bachelor’s degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field.
  • Master’s degree in Computer Science, Electrical Engineering, or a related engineering field is preferred.
  • Experience with big data, statistics, and machine learning is preferred.
  • Experience with algorithms and optimization is preferred.

Benefits

  • Base salary range of $168,300 to $198,000 USD.
  • Eligibility for a bonus.
  • Eligibility for restricted stock units (RSUs).
  • Benefits package offered for eligible roles.
  • Equal opportunity employer consideration for qualified applicants.

Interested in this position?

Apply directly on the company website

Apply Now

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