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5 дней назад

Data & AI / ML Evaluation Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data & AI / ML Evaluation Engineer (AI/ML and Cybersecurity): Building automated data ingestion, curation, training, and evaluation infrastructure for AI security models with an accent on threat-data pipelines, labeling workflows, and benchmark automation. Focus on capturing false-positive feedback, retraining Prompt Injection and Shadow-AI models, and measuring detection quality against baseline models.

Location: EMEA - U.K.

Company

hirify.global develops browser security products that protect organizations from threats across the web, documents, email, and AI-agent workflows.

What you will do

  • Design and operate automated data collection, mining, and web-scraping pipelines for threat samples from surrogate traffic and web sources.
  • Build data processing, annotation, dataset curation, model training, and retraining workflows for Prompt Injection SLMs, Shadow-AI detection, Malicious Macro classifiers, and PII detection.
  • Capture false-positive samples from live user and DDR flows and integrate them into retraining pipelines.
  • Develop automated benchmarking and evaluation harnesses for detection quality, runtime performance, and accuracy against baseline models such as Vertex AI.
  • Collaborate with research and software engineering teams to convert detection telemetry into model improvements.

Requirements

  • 2–4 years of experience in software engineering, data engineering, or automated QA/evaluation roles.
  • Strong Python programming proficiency; C++, SQL, and related programming experience are advantageous.
  • Experience with model training and various ML and AI algorithms.
  • Experience building data pipelines, web scrapers, or automated data-processing systems.
  • Familiarity with data structures, storage formats, and database configurations.
  • A methodical approach to dataset labeling, validation, bug logging, and metric tracking.

Nice to have

  • Hands-on experience with ML evaluation frameworks, dataset curation, or annotation tools.
  • Familiarity with text extraction, NLP preprocessing, or document parsing.
  • Understanding of cybersecurity concepts including Prompt Injection, Malicious Macros, and DLP/PII.
  • Basic experience with cloud storage, object stores, and Docker.
  • Experience with AWS, GCP, Terraform, Kubernetes, and Linux.

Culture & Benefits

  • Full-time role within the R&D department.
  • Culture centered on Proactive Leadership, Straight Talk, United Impact, Elevated Talent, and Customer-Compelled decision-making.
  • Employment consideration is provided without discrimination based on protected characteristics.

Hiring process

  • Agencies may submit resumes only through Ashby with a valid services agreement and Talent-team assignment to the specific requisition.

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