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AI Innovation Engineer

135 000 - 210 000$
Формат работы
remote (только USA)
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

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TL;DR
AI Innovation Engineer (Machine Learning): Designing and shipping advanced machine learning systems and production pipelines that solve high-impact business problems with an accent on deep learning, model evaluation, and scalable engineering. Focus on training and fine-tuning models, adapting current research techniques, building distributed and observable systems, and deploying models with safeguards.

Location: 100% remote within the United States

Salary: $135,000–$210,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Design and ship advanced machine learning systems for high-impact business problems.
  • Bridge applied AI research and production engineering across the full lifecycle, from problem framing and experimentation to deployment and continuous improvement.
  • Train, fine-tune, and evaluate deep learning models at non-trivial scale.
  • Build robust, scalable, and well-instrumented production ML pipelines with appropriate observability and safeguards.
  • Evaluate current AI research and adapt relevant techniques for real-world applications.
  • Explain complex machine learning methods clearly to technical and non-technical stakeholders.

Requirements

  • Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field, or equivalent applied experience.
  • Six or more years of combined research and applied ML engineering experience.
  • Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX.
  • Hands-on experience with deep learning model training, fine-tuning, and evaluation at scale.
  • Strong foundations in mathematics, statistics, and modern machine learning theory.
  • U.S. work authorization is required; the role is open to U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates. New H-1B visa petitions cannot be sponsored.

Nice to have

  • Published research at top-tier AI/ML venues.
  • Experience with large language model training, fine-tuning, or evaluation.
  • Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
  • Exposure to responsible AI, model evaluation, and alignment practices.
  • Experience contributing to open-source ML projects.

Culture & Benefits

  • Full-time direct W-2 employment.
  • Fully remote work within the United States.
  • Career growth opportunities within an established technology organization.
  • Work spanning cloud, AI, data, and enterprise solutions.

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