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10 часов назад

ML Engineer (AI)

160 000 - 180 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
UK/US/Ireland +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
ML Engineer (AI): Building machine-learning and applied-AI capabilities for detecting AI agents at runtime, assessing risk, and establishing behavioural baselines in regulated enterprise environments with an accent on telemetry classification, threat detection, and LLM-powered security policy. Focus on designing production ML systems, model deployment and versioning, A/B testing, and low-latency inference over large-scale infrastructure telemetry.

Location: Vancouver, hybrid

Salary: CAD $160,000–$180,000 per year

Company

hirify.global develops Calico, a network security and observability platform for preventing, detecting, and mitigating security breaches in Kubernetes clusters.

What you will do

  • Own the machine-learning and applied-AI capabilities for detecting AI agents at runtime and assessing their risk.
  • Build classification models from runtime telemetry, behavioural threat detection, and behavioural baselines.
  • Use LLMs to connect security intent with machine-enforceable policy.
  • Shape telemetry pipelines, product features, roadmap decisions, model deployment, model versioning, and production A/B testing.
  • Design ML systems on top of the existing data infrastructure and collaborate on broader architecture decisions.

Requirements

  • 5+ years of professional ML engineering experience, including at least 2 years building and deploying production ML systems.
  • Strong knowledge of classical machine learning, including gradient-boosted trees, regression, classification, evaluation, feature engineering, class imbalance, and noisy labels.
  • Experience with anomaly detection or time-series modelling.
  • Hands-on experience with LLMs for function calling, retrieval-augmented generation, prompt engineering, fine-tuning, and evaluation.
  • Python and standard ML tools such as scikit-learn, PyTorch or TensorFlow, and pandas.
  • Experience working with large-scale telemetry data using ClickHouse, BigQuery, Snowflake, Spark, or equivalent technologies; excellent written and verbal communication skills.

Nice to have

  • Experience in security, infrastructure, or systems-adjacent ML.
  • Familiarity with eBPF, kernel telemetry, or low-level systems observability.
  • Experience deploying ML models in latency-sensitive paths, including sub-millisecond inference.
  • Open-source contributions, model versioning tools, or experience with interpretable ML.

Culture & Benefits

  • Small, flat team with high autonomy and end-to-end product ownership.
  • Fast planning and shipping with open architecture reviews.
  • Direct reporting to the CTO.
  • Opportunities to publish research, speak at conferences, and represent hirify.global in the technical community.
  • Full health, vision, and dental benefits in a collaborative and flexible work environment.

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