ML Inference Optimization Engineer
$250,000–$450,000 year
On-siteSeattle, Washington, United States
Job Summary
Design and implement ML inference optimization algorithms to enhance AI model performance. Collaborate with cross-functional teams to integrate machine learning solutions into product offerings. Analyze and improve existing models using Python and PyTorch to ensure high efficiency and accuracy. Develop and maintain robust testing frameworks to validate model performance in real-time applications. Monitor and troubleshoot production systems to ensure seamless operation and user experience. This Seed-stage startup focuses on developing cutting-edge visual conversational AI that delivers a human-like interaction experience.
Required Qualifications
- 2+ years of experience in machine learning engineering or a related field
- Proficiency in Python
- Experience with PyTorch for model development and optimization
- Strong understanding of machine learning principles and best practices
- Experience working in a collaborative, fast-paced environment with a focus on innovation
Desired Qualifications
- Familiarity with visual conversational AI technologies or similar applications
- Experience with model deployment and monitoring in production environments
- Knowledge of additional machine learning frameworks or libraries
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