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Senior Product Engineer (AI)

165 000 - 330 000$
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 Product Engineer (AI): Building features and products for serverless reinforcement learning on a training platform with an accent on APIs, UI, and infrastructure layers. Focus on understanding user workflows, partnering with research engineers, and driving long-term improvements to system reliability and development velocity.

Location: Hybrid in San Francisco or New York, United States

Salary: $165,000–$330,000 annually, plus equity

Company

Baseten builds AI inference infrastructure and developer tooling that helps leading AI companies bring machine learning models into production.

What you will do

  • Own features and products such as multinode training and serverless reinforcement learning from conception through MVP and general availability.
  • Design APIs and abstractions for complex training resources and lifecycles.
  • Implement features across the API, backend, database, infrastructure, and optionally frontend layers.
  • Fine-tune and deploy models to understand training workflows and customer needs.
  • Partner with model developers and research engineers to improve post-training workflows.
  • Improve system reliability, development velocity, and customer issue resolution.

Requirements

  • 5+ years of experience building software applications.
  • Deep knowledge of web technologies, databases, and distributed systems.
  • Experience developing developer tooling or infrastructure products for internal or external users.
  • Strong product judgment for developer-oriented tools.
  • Interest in ML/AI infrastructure and willingness to learn.
  • High ownership, agency, and communication skills.

Nice to have

  • Experience launching products through MVP, beta, and general availability release cycles.
  • Experience with supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, or full fine-tuning.
  • Familiarity with NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, Hugging Face Trainer, FSDP, or DeepSpeed.
  • Experience building AI products, tooling, or agents.
  • Frontend fluency.

Culture & Benefits

  • Competitive compensation with meaningful equity.
  • Flexible paid time off and a company-wide winter break.
  • Paid parental leave and a fertility and family-building stipend.
  • For U.S. employees: 100% coverage of medical, dental, and vision insurance and a company-facilitated 401(k).
  • Exposure to a variety of ML startups and opportunities for learning and networking.

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