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Текст:
Hirify AI/Оригинал
TL;DR
Applied Machine Learning Engineer (AI): Building evaluation systems and feedback loops for enterprise AI agent workflows with an accent on model behavior, product quality, and real-world performance. Focus on translating qualitative user feedback into actionable model improvements and rigorous evaluation frameworks.
Company
Cohere is a leading security-first enterprise AI company building frontier foundation models and end-to-end products to solve real-world business problems.
What you will do
Own the evaluation strategy for North, defining metrics for agent workflows, tool use, and enterprise knowledge work.
Build high-quality evaluation systems based on user feedback, production failures, and product goals.
Create continuous feedback loops that turn product insights into actionable model updates.
Act as the voice of the product within the modelling team to bridge the gap between user needs and model capabilities.
Analyze model failures and capability gaps to provide actionable recommendations for model selection and patches.
Requirements
Must be able to collaborate effectively within Europe and East Coast North America time zones.
Proven experience improving LLM-powered or AI-product systems through evals, feedback loops, or model adaptation.
Strong applied MLE judgment with a focus on model behavior, eval validity, and production tradeoffs.
Ability to translate messy qualitative signals into structured measurement.
Self-directed and practical approach to solving open-ended technical and product problems.
Culture & Benefits
6 weeks of paid vacation (30 working days).
Comprehensive health and dental benefits, including mental health support.
Retirement savings matching (RRSP/401K/Pension).
100% parental leave top-up for up to 6 months.
Annual enrichment benefits including stipends for learning, fitness, and arts.
$500 home office setup stipend and co-working benefits for remote employees.
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