4 дня назад
Software Engineer, Production Inference (AI)
300 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Production Inference (AI): Operating and scaling production inference systems for live, multi-tenant model serving with an accent on reliability, rollout safety, observability, and cost-efficient infrastructure. Focus on building resilient serving systems, productionizing inference techniques, leading incident response, and managing capacity as traffic and model sizes grow.
Location: On-site in San Francisco, CA; San Francisco and New York listed as locations
Annual salary: $300,000–$400,000 USD, depending on background, skills, and experience.
Company
Thinking Machines Lab builds AI systems designed to extend human will and judgment, including frontier models, model customization infrastructure, and human-AI interfaces.
What you will do
- Operate and scale production inference systems serving live traffic, including a multi-tenant serving platform.
- Own safe, incremental rollouts for new models, model versions, and inference optimizations.
- Build observability, alerting, and capacity-planning systems for rapid detection and resolution of production issues.
- Partner with inference and research teams to productionize new serving techniques.
- Lead incident response, root-cause analysis, and durable remediation for production inference issues.
- Design graceful degradation, failover, redundancy, and cost-efficient capacity management as usage grows.
Requirements
- Experience operating large-scale, latency-sensitive production systems.
- Proficiency in Python and Go or another systems language.
- Experience with observability, monitoring, and incident response for production services.
- Strong understanding of distributed systems and failure modes at scale.
- Comfort with on-call work and leading incident response for critical production systems.
- Ability to work on-site in the United States, with the role based in San Francisco, CA.
Nice to have
- Experience running production inference for large language models or other large-scale machine learning systems.
- Experience with canarying, blue/green deployments, feature flags, or similar rollout systems.
- Experience with GPU or TPU capacity planning and cost optimization.
- Familiarity with batching, caching, quantization, and other inference-specific techniques.
- Experience working autonomously in a fast-changing, early-stage environment.
Culture & Benefits
- Generous health, dental, and vision benefits.
- Unlimited paid time off and paid parental leave.
- Visa sponsorship is available, with support throughout the visa process.
- Relocation support is available as needed.
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