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2 дня назад

Senior Machine Learning Engineer (AI)

153 750 - 225 000$
Формат работы
hybrid
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 (AI): Designing and deploying autonomous AI agents and multi-agent systems for talent management with an accent on LLMs, reinforcement learning, and scalable cloud infrastructure. Focus on building Copilot GenAI workflows, solving distributed-system performance challenges, and developing personalized agent experiences from enterprise and user data.

Location: Hybrid in Santa Clara, California, United States. Employees based near the Santa Clara office are expected to work from the office three days per week.

Base annual salary: $153,750–$225,000, plus a discretionary bonus of up to 15% and pre-IPO equity.

Company

hirify.global.ai develops AI-powered talent management products that help users connect with career opportunities.

What you will do

  • Research, design, develop, and deploy AI agents and agentic systems.
  • Architect multi-agent systems with planning, decision-making, and execution capabilities.
  • Integrate large language models and other advanced AI techniques into agent experiences.
  • Build scalable and reliable infrastructure for operating AI agents in production.
  • Develop Copilot GenAI Workflows that enable chat-like command execution.
  • Collaborate with product managers, UX designers, and engineers while diagnosing distributed-system issues and optimizing performance.

Requirements

  • 2–5+ years of relevant machine learning experience.
  • Knowledge of machine learning algorithms, GenAI, LLMs, and agentic AI.
  • Understanding of agent-based modeling, reinforcement learning, autonomous systems, distributed systems, and microservices.
  • Proficiency in Python and experience with TensorFlow or PyTorch.
  • Experience with AWS, Docker, and Kubernetes.
  • Bachelor’s, master’s, or Ph.D. in computer science, artificial intelligence, or a related field, or equivalent experience.

Nice to have

  • Research experience in agentic AI or related fields.
  • Experience building and deploying AI agents in real-world applications.

Culture & Benefits

  • Hybrid work model emphasizing regular in-person collaboration.
  • Family medical, vision, and dental coverage.
  • Eligibility for equity awards and discretionary bonuses or commissions.
  • Opportunities for technical growth and knowledge sharing.

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