Senior Deep Learning Infrastructure Engineer

This role is based in Santa Clara, CA, Austin, TX, or can be performed remotely.

Compensation:

Base salary range: $184,000 - $356,500/year depending on level and experience.

Responsibilities:

• Develop infrastructure for a scalable deep learning platform.
• Design and maintain high bandwidth data-pipelines, APIs, and services.
• Collaborate with research teams to productize deep learning products.
• Adapt and build skills to solve engineering challenges.

Requirements:

• Bachelor’s/Master's degree in computer science, engineering, or related field.
• 6+ years of experience in services, pipelines, API development, and system design.
• Expertise in Python, JavaScript, or similar programming languages.
• Strong desire to learn and exceed prior experience.

Preferred Skills:

• Experience in dev-ops, full-stack development, databases, and cloud computing.
• Knowledge of machine learning fundamentals and experience with RAG pipelines or LLM applications.