обновлено 15 часов назад
Senior Software Engineer (AI Model Lifecycle)
172 425 - 230 945$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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