5 months ago
San Mateo, CA, USAMid Level / Senior
Base Salary
$170k - $278k/yr
Responsibilities
- Develop solutions for high-performance deep learning inference for computer vision workloads.
- Profile computer vision and vision language models to identify performance bottlenecks.
- Design and implement end-to-end MLOps workflows for model deployment and monitoring.
- Utilize advanced machine learning knowledge to improve system performance.
- Create new methods for enhancing training efficiency.
- Implement GPU kernels for optimized inference on custom architectures.
- Design SDKs for external developers to create autonomous workflows using machine learning.
Requirements
- Hands-on experience with MLOps and ML inference acceleration.
- Strong knowledge of deep learning fundamentals and state-of-the-art models.
- Fundamentals in computer vision, image processing, and video processing.
- Experience building and managing ML pipelines for vision tasks.
- Understanding of security and compliance requirements in ML infrastructure.
- Familiarity with ML frameworks and libraries.
- Ability to drive concepts through the software lifecycle from architecture to deployment.
- Strong communication skills for effective collaboration.
Benefits
- Competitive base salary and equity in the form of stock options.
- Comprehensive benefits packages including health insurance.
- Paid vacation time, sick leave, and holiday pay.
- 401K savings plan.
- Relocation assistance may be provided for eligible roles.