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5 часов назад

Senior Software Engineer (ML Services)

190 000 - 220 000$
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

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TL;DR

Senior Software Engineer (ML Services): Designing and scaling AI-powered applications and ML services for computable document infrastructure with an accent on agentic coding practices and high-throughput services. Focus on building production-grade agentic systems, optimizing ML service latency, and implementing distributed cloud-native architectures.

Location: On-site in Mountain View, CA (daily office attendance required)

Salary: $190,000–$220,000 per year

Company

hirify.global is an AI-native company transforming unstructured data into structured, auditable data to make the world's documents computable.

What you will do

  • Establish patterns for spec-driven development, context engineering, and multi-agent orchestration to compound team output.
  • Design and maintain AI-powered services focusing on high availability, performance, and reliability.
  • Build low-latency, high-throughput ML services optimized for cost efficiency.
  • Collaborate with ML Engineers to move capabilities from R&D prototypes to scalable production stacks.
  • Lead cross-functional initiatives and mentor engineers to elevate the team's technical bar.
  • Enhance the internal ML platform, facilitate data sourcing, and enable observability for deployed services.

Requirements

  • 5+ years of experience in software development with a strong backend and ML engineering background.
  • Fluency with agentic coding tools (Claude Code, Codex, or equivalent), including managing repo context and verifying agent output.
  • Experience with cloud-native technologies (Docker, Kubernetes) and platforms (AWS, GCP, or Azure).
  • Proven track record of building and operating ML systems at scale in production.
  • Strong software architecture skills for designing distributed systems and cloud-based applications.
  • Must be based in or work on-site at the Mountain View HQ on a daily basis.

Nice to have

  • Experience with ML frameworks like PyTorch.
  • Experience serving ML models and LLMs using frameworks like vLLM.
  • Experience building intuitive APIs for developer-facing products.

Culture & Benefits

  • Equity grants to share in the company's success.
  • Comprehensive medical, dental, and vision healthcare for employees and dependents.
  • Wellness stipend for fitness programs and self-care.
  • Education stipend for lifelong learning and professional growth.

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