Member of Technical Staff, Applied Research

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Media, Creative TechnologyIndustries

Requirements

Candidates should possess 5+ years of relevant engineering or research experience in machine learning, computer vision, and/or graphics, along with expertise in programming languages such as Python, C++, and CUDA, and proficiency with deep learning frameworks like TensorFlow and PyTorch. Strong programming skills and the ability to write clean and maintainable research code are essential, as is a deep interest in building human-in-the-loop systems for creativity and a passion for seeing research through to practical application.

Responsibilities

The Member of Technical Staff will develop innovative research projects in computer vision, specifically focusing on generative models for image and video, and build new computer vision pipelines for automating visual effects tasks such as video segmentation and tracking. They will collaborate closely with a world-class engineering team to push the boundaries of content creation on the browser, and work with the product organization to bring cutting-edge machine learning models to production, while also mentoring and teaching other researchers and documenting their work effectively.

Skills

Computer Vision

Generative Models

Machine Learning

Deep Learning

Image Generation

Video Generation

Visual Effects

Video Segmentation

Tracking

Software Engineering

Python

PyTorch

TensorFlow

Research

Communication

Collaboration

Runway

Finance platform for business modeling and planning

About Runway

Runway offers a finance platform that simplifies business modeling, planning, and alignment for companies of all sizes. It operates on a subscription-based model, providing features like automated data integration, simplified financial modeling, and detailed reporting, all through a user-friendly interface. What makes Runway different is its focus on creating an enjoyable user experience and the ability to use human-readable formulas. The goal of Runway is to empower businesses to make informed financial decisions through effective collaboration.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$36MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Enterprise Software, Financial ServicesIndustries

51-200Employees

Benefits

Remote Work Options

Company Equity

Risks

Increased competition from Genmo's Mochi-1 model threatens Runway's market position.

Luma AI's rapid API launch indicates a highly competitive market environment.

Legal challenges may arise from Runway's partnerships and use of copyrighted materials.

Differentiation

Runway offers a user-friendly interface for financial modeling and planning.

The platform integrates data from HR, accounting, and data warehouses for comprehensive insights.

Runway's human-readable formulas simplify complex financial modeling for diverse clients.

Upsides

Increased demand for AI-driven financial modeling tools enhances Runway's market potential.

Growing interest in integrated financial platforms supports Runway's comprehensive solution.

Rising trend of user-friendly SaaS platforms aligns with Runway's design and functionality.

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