2 дня назад
Software Engineer, Machine Learning Platform - Gen AI
130 600 - 192 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Machine Learning Platform - Gen AI (Python/LLM/GPU): Building production infrastructure for open-weight model serving, batch inference, and fine-tuning with an accent on GPU performance, autoscaling, observability, and cost efficiency. Focus on designing distributed systems for real-time inference, high-throughput pipelines, SFT/DPO/LoRA fine-tuning, and reliable GenAI platform primitives.
Location: San Francisco, CA; Sunnyvale, CA; or Seattle, WA, United States
Base salary: $130,600–$192,000 USD annually, plus potential equity grants.
Company
operates a GenAI platform supporting AI-powered products, agents, automation, and personalization across , Wolt, and Deliveroo.
What you will do
- Build production infrastructure that moves GenAI applications from prototypes to reliable products.
- Develop open-weight model serving, including real-time GPU endpoints, batch inference, and fine-tuning with SFT, DPO, and LoRA.
- Design scalable systems for model serving, GPU autoscaling, batch pipelines, backend services, and observability.
- Optimize GPU inference cost, latency, throughput, and utilization while maintaining reliability, fallback controls, and SLOs.
- Build platform capabilities covering gateways, evaluations, guardrails, cost attribution, monitoring, and operational playbooks.
- Partner with ML engineers, product engineers, data scientists, and platform teams across , Wolt, and Deliveroo.
Requirements
- Bachelor’s, master’s, or PhD in Computer Science or equivalent experience.
- 3+ years of industry software engineering experience.
- Strong backend engineering fundamentals, especially Python and distributed systems.
- Experience building and operating production services, APIs, data pipelines, or ML infrastructure at scale.
- Hands-on production experience with LLM inference or fine-tuning of open-weight models, including serving, batching, autoscaling, GPU utilization, SFT, DPO, or LoRA.
- Experience with observability, debugging, reliability, incident response, and performance or cost optimization; proficiency with AI coding tools across the software development lifecycle.
Nice to have
- Experience with vLLM, SGLang, TensorRT-LLM, distributed training, GPU optimization, quantization, or high-throughput batch systems.
- Experience with Kubernetes, AWS, GCP, GPUs, serverless or elastic GPU platforms, and internal developer platforms.
- Experience with LLM gateways, model routing, cost attribution, AI agents, MCP servers, evaluation systems, observability, tracing, RAG, search, or vector databases.
Culture & Benefits
- Regular employee benefits include a 401(k) plan with employer matching, medical, dental, and vision insurance.
- Benefits include 16 weeks of paid parental leave, paid time off, paid sick leave, 11 paid holidays, disability and life insurance, and family-forming assistance.
- Additional benefits include wellness, commuter, and mental health programs.
- Salaried employees receive flexible paid time off and 80 hours of paid sick time per year.
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