Remote Applied AI Scientist - Computer Vision & Generative

Workman Labs; United States; Hybrid; USD 260,000 - 370,000; Full time

Job summary

Runway is seeking an Applied Research Scientist to build computer vision and generative models for its creative tools and drive research into shipped user interfaces with backend and design teams.

The position is remote in the US, offering a lucrative salary and the opportunity to push the boundaries of AI-driven creativity. Candidates should have 4+ years in ML/CV/graphics and strong programming in Python, C++, CUDA, and major DL frameworks.

Qualifications

• 4+ years of ML/CV/graphics experience.
• Strong Python, C++, CUDA, and deep learning frameworks (TensorFlow, PyTorch).
• Interest in human-in-the-loop creativity.
• Passion for translating research to real applications.
• Experience mentoring researchers.
• Excellent written and verbal communication.

Skills

ML/CV research

Python

C++

CUDA

TensorFlow

PyTorch

Research mentoring

Job description

Member of Technical Staff, Applied Research Scientist

Runway is hiring applied research scientists to build computer vision and generative models for its creative tools, and to carry that research through to shipped user interfaces with the backend and design teams.

$260,000 – $370,000 / yr

Location

Remote (US)

Remote

Seniority

—

Compared with 15 other Research roles: Common across similar roles Unique to this role

What you'll do

Responsibilities

No responsibilities recorded for this posting.

What you'll need

Experience

• 4+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics Common
• Expertise with programming such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills and ability to write clean and maintainable research code Common
• Deep interest in building human-in-the-loop systems for creativity Unique
• Passion for seeing research through from initial conception to eventual application Unique
• Experience mentoring and teaching other researchers Unique
• Strong communication, collaboration, and documentation skills