3 дня назад
Member of Technical Staff, Software Engineer (AI)
200 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Member of Technical Staff, Software Engineer (AI): Building product features, development environments, internal tools, and infrastructure that accelerate customer use cases and developer velocity with an accent on Python, deployment automation, and AI/ML workloads. Focus on designing scalable developer tooling, operating GPU-intensive systems, and improving testing, observability, and incident response across research, ML infrastructure, and product teams.
Location: Bay Area, United States; in-office
Annual base salary: $200,000–$350,000 USD, plus equity and benefits.
Company
develops diffusion-based large language models, including Mercury, for faster and more efficient AI applications.
What you will do
- Develop product features that unlock new customer use cases.
- Create and maintain development environments, tooling, and workflows that improve developer velocity.
- Build internal tools and dashboards for experiment tracking, resource management, and operational visibility.
- Establish engineering practices for testing, code review, release management, and incident response.
- Collaborate with research, ML infrastructure, and product teams to identify pain points and prioritize high-impact improvements.
Requirements
- BS, MS, or PhD in Computer Science or a related field, or equivalent experience.
- 5+ years of experience in software engineering, application development, developer tooling, platform engineering, DevOps, or infrastructure.
- Strong Python proficiency.
- Experience with CI/CD systems, deployment automation, infrastructure as code, and cloud platforms such as AWS or Azure.
- Experience with Kubernetes, Docker, and container orchestration in production environments.
- Strong focus on customer experience and developer velocity.
Nice to have
- Experience with Go, Rust, or C++.
- Experience developing AI/ML-powered product features and operating ML or GPU-intensive workloads.
- Familiarity with monitoring and observability stacks.
- Experience testing ML systems, including nondeterminism, regression testing, and evaluation-driven validation.
- Experience scaling developer tooling at a fast-growing startup or engineering organization.
Culture & Benefits
- Collaboration with AI researchers and engineers who developed diffusion models and other foundational technologies.
- Opportunity to influence foundational AI product technology and product direction.
- Competitive salary, equity, and a collaborative, inclusive culture.
- Flexible vacation and paid time off.
- Health, dental, and vision insurance, plus a 401(k) match.
- Catered meals and commuter subsidies.
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