обновлено 5 дней назад
Infrastructure Engineer (AI)
180 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AI): Building and operating development, production, training, and inference infrastructure for a data curation platform with an accent on multi-cloud support, deployment models, reliability, and security. Focus on architecting scalable systems, debugging networking and hardware issues, and enabling researchers and engineers to deliver new machine learning capabilities.
Location: San Mateo, CA, United States; in-office 4 days a week. Relocation assistance is available for employees moving to the Bay Area.
Salary: $180,000–$300,000 per year, plus meaningful equity.
Company
develops an AI data curation suite that optimizes large-scale training data for machine learning models.
What you will do
- Design and build development and production platforms that support reliable and secure products at scale.
- Architect, build, and deploy core infrastructure across multiple cloud providers and deployment models.
- Develop data infrastructure capabilities, including training and inference infrastructure.
- Build tooling and systems that improve engineering productivity and developer experience.
- Partner with researchers and engineers to bring new product features and research capabilities to customers.
- Work with founders on product direction and business-critical technical decisions.
Requirements
- 4+ years of relevant infrastructure engineering experience.
- Meaningful experience leading and constructing large-scale infrastructure.
- Proficiency in Bash, Kubernetes, Python, and/or Terraform or similar technologies.
- Experience with AWS, other cloud platforms such as Azure or GCP, and/or on-premises environments.
- Ability to debug networking, performance, hardware, memory, and other cross-stack issues.
- Ability to work in the San Mateo office 4 days per week.
Nice to have
- Experience building data infrastructure from or nearly from scratch at a fast-growing startup.
- Experience building ML/DL infrastructure or data infrastructure for training large machine learning models.
Culture & Benefits
- 100% covered medical, vision, and dental benefits.
- 401(k) plan with a 4% company match.
- Unlimited paid time off.
- 12 weeks of paid parental leave and 6 months of work-from-home flexibility.
- Annual $2,000 wellness stipend and $1,000 learning and development stipend.
- Daily lunches and snacks are provided in the office.
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