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AI Senior Machine Learning Engineer (Gen AI)

170 000 - 240 000$
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

Senior Machine Learning Engineer (Gen AI): Building and optimizing generative AI platforms, including AI Agents, RAG, and multi-agent systems for cloud-driven networking solutions with an accent on high-performance microservices and real-time inferencing. Focus on designing scalable distributed systems, fine-tuning LLMs, and implementing complex ML models using Triton and TensorRT.

Location: Must be based in the United States (Seattle, WA or San Jose, CA)

Salary: $170,000 – $240,000

Company

hirify.global provides end-to-end, cloud-driven networking solutions to over 50,000 customers globally.

What you will do

  • Drive the vision and design for strategic ML solutions across various products and platforms.
  • Lead the end-to-end software development lifecycle (SDLC) from design and testing to deployment and operations.
  • Architect high-performance, high-scale synchronous and asynchronous microservices.
  • Implement real-time online inferencing for complex models using Triton, TensorRT, and mixed precision computing.
  • Mentor junior engineers and establish technical direction for the team.
  • Ensure technical rigor, system resilience, and scalability through code reviews and process improvements.

Requirements

  • Degree in Computer Science, Mathematics, or a related field.
  • 5-10 years of experience in the full software development lifecycle.
  • 5-10 years of professional Python experience with advanced libraries.
  • Expertise in designing RESTful APIs using FastAPI.
  • Proficiency with Docker, Kubernetes, and modern CI/CD practices.
  • 3+ years of experience architecting large distributed systems on cloud platforms (AWS, Azure, or GCP).
  • Legal authorization to work in the United States.

Nice to have

  • MS or PhD in Computer Science or equivalent ML experience.
  • Experience with PyTorch, Sagemaker, Triton, and TensorRT.
  • Knowledge of NoSQL and document databases.
  • Proven track record in big data optimization and system performance tuning.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • Retirement savings with 401K matching (US).
  • Flexible work schedules and work-from-home opportunities where role permits.
  • Paid time off and statutory leave.
  • Employee Stock Purchase Program and tuition reimbursement.
  • Adoption assistance and fertility treatment support.

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