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Senior Software Engineer (AI Model Lifecycle)

172 425 - 230 945$
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 (AI Model Lifecycle): Building a managed platform for the application development lifecycle with an accent on LLM training, fine-tuning, reinforcement learning, and experiment management. Focus on orchestrating multi-node foundation-model training, implementing failure recovery and cost-efficient scaling, and enabling reproducible model development at scale.

Location: On-site in San Francisco or Sunnyvale, California, United States

Salary: $172,425–$230,945 annually plus bonus; restricted stock units included.

Company

hirify.global builds vertically integrated energy and AI infrastructure for large-scale AI workloads, spanning energy, data centers, cloud services, and software.

What you will do

  • Build a managed platform covering the full application development lifecycle for machine learning models and large language models.
  • Manage fine-tuning systems for large foundation models using SFT, PEFT, LoRA, and adapters.
  • Develop multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling capabilities.
  • Implement end-to-end LLM training, distillation, reinforcement learning, and reinforcement fine-tuning pipelines.
  • Build dataset, model, and experiment management with versioning, lineage, evaluation, and reproducible fine-tuning.

Requirements

  • Advanced degree in Computer Science, Engineering, or a related field.
  • 4–5+ years of industry experience leading impactful AI projects.
  • Experience with generative AI, large language models, and multimodal models.
  • Hands-on experience training, fine-tuning, and aligning LLMs with reinforcement learning and reinforcement fine-tuning techniques.
  • Proactive, collaborative, and autonomous approach to solving challenging technical problems.

Nice to have

  • Proficiency in Golang or Python for large-scale production services and PyTorch.
  • Contributions to open-source AI projects such as vLLM or similar frameworks.
  • Experience optimizing performance on GPU systems and inference frameworks.

Culture & Benefits

  • Restricted stock units and competitive compensation.
  • Paid time off, paid holidays, and paid parental leave.
  • Health, dental, and vision insurance, including HSA contributions.
  • Professional development, tuition reimbursement, and mental health and wellness support.
  • 401(k) retirement plan with company matching up to 4% of salary.
  • Commuter benefits, cell phone stipend, volunteer time off, and life and disability insurance.

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