Why This Role Stands Out
This hybrid role offers a competitive salary of $200K-$250K plus equity at a rapidly growing AI startup, allowing you to directly impact the performance and scalability of next-generation AI applications. You'll thrive here if you're a mid-senior engineer passionate about optimizing ML inference infrastructure, solving complex performance challenges, and building production-ready AI systems. Apply now to join a collaborative team and accelerate your career in cutting-edge AI development.
Quick Overview
Job Description
Title: ML Inference Engineer
Location: San Francisco, CA
Salary: $250k base + equity
An AI Unicorn startup is hiring a Senior Machine Learning Inference Engineer for a full-time role.
You will be responsible for improving efficiency for AI-native infrastructure powered by generative and multimodal models. The ideal candidate has over 3 years of professional experience and a strong understanding of GPU infrastructure, Python, and PyTorch. This is a highly autonomous role with significant ownership across inference systems and model performance in production.
This role is hybrid in San Francisco Bay Area and offers full benefits and equity.
Experience:
- Building AI applications at scale from the ground up
- Strong understanding of GPU infrastructure including Triton, TensorRT, or vLLM frameworks
Hands-on experience with Python and PyTorch - Building model-serving Microservices
- Diffusion and Multimodal model experience is a plus
Benefits:
- Competitive base salary
- Equity
- $401k matching
- Medical coverage
Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.
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