Social Radar Verified
Location-based services, Social Tech, Data Analytics, Mobile
Machine Learning Architect
San Francisco, California, United StatesOnsiteFull Time$100,000–$150,000 /yrPosted 2 months agoHidden Gem · YC Startup
Role summary
Seeking a founding Machine Learning Architect to collaborate directly with the CTO on agent-based retrieval optimization. Responsibilities include full-stack engineering, model architecture research, software/hardware latency optimization, cloud infrastructure management, and product roadmap development. The role also involves customer-facing activities such as onboarding and support. A Master's degree in computer science or engineering with experience in ML product engineering is required. Preferred qualifications include graduate-level work in deep learning and transformer models, and experience building engineering culture at an early-stage startup.
This is a founding role. You will work directly with Venkat (the CTO) to optimize our agent-based retrieval. You will be expected to help with engineering across the stack, including model architecture research, latency optimization at both the software and hardware level, cloud infrastructure, and product roadmap. You will also work closely with our customers on onboarding, support, and keeping them happy.
We're looking for people who have demonstrable experience in deep learning research, cloud computing, software / hardware co-design. You are also expected to have strong organizational skills and strong problem solving skills.
A Master's degree in computer science / engineering and experience in engineering ML products is required. Graduate level work in deep learning and transformer models is strongly preferred. If you have experience building a strong engineering culture at an early-stage startup, we'd love to talk with you!
We're looking for people who have demonstrable experience in deep learning research, cloud computing, software / hardware co-design. You are also expected to have strong organizational skills and strong problem solving skills.
A Master's degree in computer science / engineering and experience in engineering ML products is required. Graduate level work in deep learning and transformer models is strongly preferred. If you have experience building a strong engineering culture at an early-stage startup, we'd love to talk with you!