обновлено 5 дней назад
Software Engineer (Infrastructure)
165 000 - 330 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Infrastructure): Build and maintain components of a machine learning inference platform powering production AI applications with an accent on multi-cloud capacity management, GPU inference optimization, and scalable infrastructure. Focus on developing Kubernetes deployments, resource management, and monitoring systems to ensure high performance and reliability.
Location: Hybrid or remote across San Francisco, Montreal, New York, Seattle, and Toronto
Salary: $165,000–$330,000 per year, plus equity
Company
Baseten provides an ML inference platform and developer tooling for deploying production AI applications.
What you will do
- Develop infrastructure components for the ML inference platform using Python and Go.
- Implement and maintain Kubernetes deployments for model serving.
- Contribute to the inference orchestration layer for model deployments.
- Build monitoring systems for model performance metrics.
- Develop resource management and infrastructure automation for ML workloads.
- Collaborate on technical solutions while improving performance and system reliability.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field.
- Strong coding ability in one or more popular programming or scripting languages; Go proficiency is beneficial.
- Working knowledge of Kubernetes and containerization.
- Basic understanding of machine learning concepts and model serving.
- Familiarity with distributed systems, monitoring, and logging tools.
- Strong collaboration and communication skills, with an interest in ML/AI infrastructure.
Culture & Benefits
- Competitive compensation with meaningful equity.
- U.S. employees and dependents receive full medical, dental, and vision insurance coverage.
- Flexible PTO and a company-wide Winter Break from Christmas Eve through New Year’s Day.
- Paid parental leave and a fertility and family-building stipend.
- U.S. employees receive access to a company-facilitated 401(k).
- Exposure to a range of ML startups and opportunities for learning and networking.
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