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8 часов назад

ML Platform Engineer (AI)

150 000 - 350 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
ML Platform Engineer (AI): Building reliable, observable, and scalable production systems for agentic AI features with an accent on model evaluation, deterministic execution, and production infrastructure. Focus on turning AI research into deployable capabilities, operating ML systems, and monitoring model performance at scale.

Location: On-site in New York City, 5 days per week; relocation support is available for candidates not already based in NYC.

Salary: $150K–$350K per year plus equity.

Company

hirify.global is an early-stage AI company building workflow automation agents for enterprise customers across healthcare, finance, legal, logistics, and other domains.

What you will do

  • Partner with the CTO to turn AI research and experiments into production-grade features.
  • Investigate and prototype new AI capabilities and assess their feasibility for deployment.
  • Build observability and evaluation infrastructure for monitoring production models and measuring performance.
  • Own AI features end to end, from design and experimentation through deployment and monitoring.
  • Collaborate with other teams to bring AI capabilities into production.

Requirements

  • 3+ years of engineering experience, including recent work on advanced ML and AI systems.
  • Experience owning production AI features from experimentation through live infrastructure maintenance.
  • Proficiency in Python and hands-on experience with modern ML frameworks such as PyTorch, HuggingFace, or DSPy.
  • Experience operating in an early-stage startup with high ownership and execution in ambiguous environments.
  • Strong expertise in some or all of TypeScript, Python, DSPy, vLLM, TensorRT, Temporal, and Kubernetes.
  • Strong communication skills and an ML research background relevant to areas such as CUA, agentic reasoning, visual grounding, VLMs, or fine-tuning.

Nice to have

  • Experience with CUA, agentic reasoning, visual grounding, vision-language models, or model fine-tuning.

Culture & Benefits

  • Work in a small, early-stage team with significant ownership and impact.
  • Collaborate closely with the founding team and AI research partners.
  • Comprehensive medical, dental, and vision benefits.
  • 401(k) matching, daily meals in the office, and 4 weeks of flexible PTO per year.
  • Meaningful equity at the Series A stage and relocation support.

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