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6 дней назад

Sr. AI/ML Engineer (AI)

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

Текст:
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TL;DR
Sr. AI/ML Engineer (AI/ML): Training, evaluating, and integrating machine learning and large language models across a risk intelligence and response platform with an accent on prompt engineering, model fine-tuning, and responsible deployment. Focus on building evaluation pipelines, benchmarking commercial and open-source LLMs, optimizing Elasticsearch-backed AI systems, and improving model performance in production.

Location: Remote, U.S.-based position. Candidates may not reside in Alaska, California, Hawaii, Louisiana, Mississippi, Montana, New Hampshire, North Dakota, Oregon, Pennsylvania, Rhode Island, Vermont, Washington, West Virginia, or Wyoming. hirify.global's headquarters and office are in Austin, Texas.

Company

hirify.global provides a SaaS risk intelligence and response platform used by organizations to protect people, operations, and assets.

What you will do

  • Train and fine-tune supervised learning models, including classification, ranking, and embedding models, for internal tools and customer-facing features.
  • Lead prompt engineering, LLM testing, model benchmarking, and evaluation initiatives across the product suite.
  • Design evaluation pipelines and tools for tracking model performance, offline metrics, cross-validation, and A/B testing.
  • Optimize Elasticsearch-backed data systems and AI intelligence pipelines.
  • Evaluate commercial and open-source LLMs for performance, cost, alignment, and reliability.
  • Collaborate with product, engineering, and security teams to deploy safe, scalable, compliant, and maintainable AI features.

Requirements

  • 4–6+ years of experience in machine learning engineering, applied AI, data science, or software engineering, including 2+ years of software engineering experience.
  • Strong understanding of LLMs, traditional machine learning, prompt engineering, model fine-tuning, and evaluation.
  • Proficiency in Python and ML libraries such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
  • Experience with Elasticsearch or other large-scale search and indexing platforms.
  • Experience with cloud-based ML tooling and data workflows, such as SageMaker or Bedrock.
  • Must be authorized to work in the United States without current or future employment visa sponsorship.

Nice to have

  • Bachelor’s degree in computer science, computer engineering, or a related technical field.
  • Experience training and deploying supervised learning models in production.

Culture & Benefits

  • Remote work for eligible U.S.-based employees.
  • Competitive base salary and a company-wide bonus program.
  • Flexible time off, parental leave, and fully company-paid medical, dental, vision, and life insurance for employees.
  • 401(k) with a company match.
  • Career development through the Learning & Development team and opportunities for community service.
  • Access to the downtown Austin office, including a building gym and nearby running trails.

Hiring process

  • Interviews and assessments focus on demonstrated work; no trick questions or whiteboard exercise are required.
  • Finalists may be asked to complete identity verification and present valid government-issued identification.

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