ML Inference Optimization Engineer

ML Inference Optimization EngineerTitle of Role: ML Inference Optimization EngineerLocation: Seattle, onsiteCompany Stage of Funding: Seed — Software Development, AIOffice Type: OnsiteSalary: $250K–$450KCompany DescriptionWe're 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 DoDesign 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 Background2+ 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.PreferredFamiliarity 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 BenefitsThe base salary for this role ranges from $250K to $450K, reflecting the candidate's 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.