Applied ML Engineer (AI)

TL;DR

Applied ML Engineer (AI): Developing, fine-tuning, and operationalizing machine learning models for generative media with an accent on architectural innovation and model training at scale. Focus on solving complex customer problems through novel methods and leveraging large-scale GPU infrastructure to deploy cutting-edge AI breakthroughs.

Location: Onsite in San Francisco, CA (Visa sponsorship and relocation support provided).

Salary: $170,000–$250,000 + equity.

Company

An AI-focused organization building generative media solutions and infrastructure.

What you will do

• Develop, fine-tune, and operationalize machine learning models to enhance user experiences.
• Design and implement novel model architectures or training pipelines.
• Identify market gaps to translate product needs into technical ML solutions.
• Iterate rapidly on and deploy new AI breakthroughs using a massive GPU cluster.
• Work closely with the engineering team to optimize models for production performance.

Requirements

• Deep expertise in the generative media space with awareness of current ML trends.
• Strong proficiency in Python and ML frameworks like PyTorch or diffusers.
• Ability to identify product opportunities and work backwards to define technical solutions.
• Experience with model training and operationalization.
• Must be able to work onsite in San Francisco or willing to relocate.

Culture & Benefits

• Comprehensive US health, dental, and vision insurance.
• Equity participation in a growing AI startup.
• Access to massive GPU compute resources for experimental work.
• Significant opportunities for learning and career growth.
• Regular team events and offsites to foster collaboration.