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1 день назад

Ai Solutions Engineer (Ai)

139 000 - 204 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Solutions Engineer (AI): Implementing and scaling AI/ML workflows and GenAI applications on hirify.global with an accent on technical enablement and adoption programs. Focus on creating reusable technical assets, tracking program impact, and improving self-serve success.

Location: Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA / Philadelphia, PA. While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.

Salary: $139,000 to $204,000

Company

CoreWeave acquired hirify.global to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster.

What you will do

  • Run 1-to-many onboarding and enablement programs to help customers get value quickly and consistently.
  • Build and maintain playbooks, reference architectures, templates, sample code/notebooks, and troubleshooting guides that standardize best practices.
  • Use product usage signals and customer patterns to segment and trigger the right interventions.
  • Track program impact (activation, time-to-first-value, feature adoption).
  • Provide recurring insights back to Support, Product, and Field Engineering to continuously improve the scaled journey.

Requirements

  • 3–5 years of relevant experience in a similar role.
  • Strong programming proficiency in Python.
  • Experience with deep learning frameworks (TensorFlow/Keras, PyTorch Lightning) and tools (e.g., Streamlit, LangChain).
  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Excellent communication and presentation skills, both written and verbal.
  • Organized and outcomes-driven: you can run programs, measure impact, and iterate.

Nice to have

  • Experience with GenAI and LLMs.
  • Proficiency with HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, or Ray.
  • Experience with hyperparameter optimization solutions.
  • Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes.
  • Familiarity with data pipeline tools.

Culture & Benefits

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave.
  • Flexible PTO.
  • A casual work environment.
  • A work culture focused on innovative disruption.
  • Teams gather quarterly to support collaboration.
  • 401(k) with a generous employer match

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