Job Description
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
We'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 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 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.
