200+ applicants

Company

Runway · 17 hours ago

Machine Learning Engineer, Multimodal Data

United States

Full-time

Remote

Mid Level

$250K/yr - $310K/yr

4+ years exp

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AppsArtificial Intelligence (AI)

H1B Sponsor Likely

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Responsibilities

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

Work with a world-class research team to push the boundaries of content creation

Evaluate new datasets and models for upstream data tasks that feed into our products

Qualification

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Machine LearningDataset EngineeringData PreprocessingSQLData ModelingModel OptimizationBenchmark AnalysisPyTorchJAXTensorFlowRayKubernetesAirflowPrefectProgramming SkillsCollaboration SkillsDocumentation Skills

Required

4+ years of relevant experience in machine learning or dataset engineering, ideally with multimodal datasets

Experience with running and optimizing models offline at large scale

Excellent data modeling skills and experience with data curation

Proficiency in model finetuning and optimization for data preprocessing

Strong data analysis and SQL skills

Experience in creating evaluations and running benchmark analyses

Solid knowledge of at least one machine learning framework (e.g. PyTorch, JAX, TensorFlow)

Very strong programming skills and ability to write clean and maintainable code

Deep interest in building human-in-the-loop systems for creativity

Ability to rapidly prototype solutions and iterate on them with tight product deadlines

Strong familiarity with tools such as Ray, Kubernetes, Airflow, Prefect

Excellent communication, collaboration, and documentation skills

Company

Runway

Runway is an applied AI research company that builds the next generation of creativity tools.

Founded in 2018

New York, New York, USA

51-200 employees

https://runwayml.com

H1B Sponsorship

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2021 (1)

2020 (1)