Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing and implementing high-recall detection engines for an email security product with an accent on behavioral AI, feature engineering, and model training. Focus on solving multi-layered detection problems, adapting to new unseen attacks, and ensuring precise systems operation at milliseconds latency.

Location: Remote (USA). This position involves access to technology subject to U.S. Export Administration Regulations (EAR), requiring eligibility under U.S. export control laws.

Salary: $168,300—$198,000 USD

Company

hirify.global protects customers against nefarious adversaries who are constantly evolving their techniques and tactics, using novel behavioral-based AI to secure more than 25% of the Fortune 500.

What you will do

• Design and implement systems combining rules, models, feature engineering, and business inputs into an email detection product.
• Understand features distinguishing safe emails from attacks and how the model stack catches them.
• Identify and recommend new feature groups or ML model approaches to improve detection efficacy.
• Train models on well-defined datasets to improve efficacy on specialized attacks.
• Actively monitor and improve false negative (FN) rates and efficacy rates for message detection.
• Analyze FN and FP datasets to categorize capability gaps and recommend improvements.

Requirements

• 3+ years 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.
• Experience with data analytics using SQL, pandas, and Spark to build pipelines and answer efficacy questions.
• Ability to understand business requirements thoroughly and design simple, generalizable ML models.
• Fluent with Python and machine learning toolkits like numpy, sklearn, pytorch, and tensorflow.
• Effective software engineering skills for writing structured, readable, well-tested, and efficient code.
• Must be eligible to access controlled technology under U.S. export control laws.

Nice to have

• MS degree in Computer Science, Electrical Engineering, or related field.
• Experience with big data, statistics, and Machine Learning.
• Experience with algorithms and optimization.

Culture & Benefits

• Individual compensation packages are based on skills, experience, and qualifications, and may include a bonus and restricted stock units (RSUs).
• Committed to protecting applicant privacy with a clear privacy policy.
• hirify.global is an equal opportunity employer.

Hiring process

• Conducts video interviews and validates applicant identity at various stages.
• Successful applicants will undergo pre-employment checks to progress to a final offer.