Machine Learning Architect at Meru (W23)
$100K - $150K  •  0.50% - 2.00%
Voice to Flowsheet for Nurses.
San Francisco, CA, US
Full-time
Any (new grads ok)
About Meru

Meru is based out of San Francisco, CA, in the South Park neighborhood. We are building the next generation information acquisition system. We’re passionate about computers and language. We’re well-funded, post-revenue, and work with exciting late-stage startups and Fortune 500 companies. We’re hiring smart people profusely to grow our small team. Our benefits include top-tier health insurance, a generous 401(k) plan with matching, company-sponsored equipment, and stipends for employee education.

Come join Meru, and help us shape the future of knowledge.

About the role
Skills: Torch/PyTorch, Python, Deep Learning, Reinforcement learning (RL), Amazon Web Services (AWS)

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!

Other jobs at Meru

fulltimeSan Francisco, CA, USMachine learning$100K - $150K0.50% - 2.00%Any (new grads ok)

fulltimeSan Francisco, CA, USMachine learning$100K - $140K0.50% - 2.00%Any (new grads ok)

Hundreds of YC startups are hiring on Work at a Startup.

Sign up to see more ›