Runway

Member of Technical Staff, Dataset Engineering

Remote

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Media & Content CreationIndustries

Requirements

Candidates should possess 4+ years of relevant experience in machine learning or dataset engineering, ideally with multimodal datasets, and demonstrate experience running and optimizing models offline at large scale. Strong data modeling skills and experience with data curation, proficiency in model finetuning and optimization for data preprocessing, and solid knowledge of at least one machine learning framework (e.g., PyTorch, JAX, TensorFlow) are required. Furthermore, candidates must have very strong programming skills and the ability to write clean and maintainable code, along with a deep interest in building human-in-the-loop systems for creativity and the ability to rapidly prototype solutions and iterate on them with tight product deadlines.

Responsibilities

The Member of Technical Staff, Dataset Engineering will develop and maintain large-scale, multimodal datasets for training and evaluating models, optimize models for data preprocessing tasks, create and run evaluations and benchmark analyses for datasets and models, implement fast iteration cycles and feedback loops to continuously improve model datasets, and work with a world-class research team to push the boundaries of content creation. They will also evaluate new datasets and models for upstream data tasks that feed into Runway’s products.

Skills

Machine Learning
Large-scale datasets
Data preprocessing
Model evaluation
Benchmark analysis
Multimodal datasets
Data quality assurance
Model optimization
Evaluation and benchmarking
Data feedback loops

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.

Key Metrics

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.

Land your dream remote job 3x faster with AI