ML Inference Optimization Engineer

ML Inference Optimization Engineer

• Title of Role: ML Inference Optimization Engineer
• Location: Seattle onsite
• Company Stage of Funding: Seed Software Development AI
• Office Type: Onsite
• Salary: $250K$450K

Company Description

Were representing a dynamic startup focused on developing cutting-edge visual conversational AI that delivers a human-like interaction experience. This company is at the forefront of AI and software development working on innovative solutions that redefine how users engage with technology. With a small agile team they are poised to make a significant impact in the industry.

What You Will Do

• Design and implement ML inference optimization algorithms to enhance the performance of AI models.
• 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.

Ideal Candidate Background

• 2 years of experience in machine learning engineering or a related field.
• Proficiency in Python and 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.

Preferred

• 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.

Compensation and Benefits

The base salary for this role ranges from $250K to $450K reflecting the candidates experience and expertise. This company also offers a referral reward and is open to visa sponsorship making it an attractive opportunity for talented individuals looking to make a significant impact.

Required Experience:

IC