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Member of Technical Staff (AI)
270 000 - 370 000$
Описание вакансии
Текст:
TL;DR
Member of Technical Staff (AI): Building and optimizing large-scale, multimodal datasets for model training with an accent on data preprocessing, quality, and tight feedback loops. Focus on creating evaluations, running benchmark analyses, and pushing the boundaries of content creation through rapid iteration.
Location: Remote across North America and Europe. Offices in NYC, San Francisco, Seattle, London, and Tel Aviv. Salary range applies to candidates in the U.S.
Salary: $270,000–$370,000
Company
is building AI to simulate the world by merging art and science, focusing on world models to advance artificial intelligence.
What you will do
- 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 products.
Requirements
- 4+ years of relevant experience in machine learning or dataset engineering, ideally with multimodal datasets.
- Strong data modeling, data analysis, and SQL skills.
- Proficiency in model finetuning and optimization for data preprocessing, with experience running and optimizing models offline at large scale.
- Solid knowledge of at least one machine learning framework (e.g. PyTorch, JAX, TensorFlow) and very strong programming skills.
- Familiarity with tools such as Ray, Kubernetes, Airflow, Prefect.
- Deep interest in building human-in-the-loop systems for creativity, with an ability to rapidly prototype solutions.
Culture & Benefits
- Committed to recruiting and retaining exceptional talent from diverse backgrounds.
- Ensures pay equity for the team.
- Aims to create a space where employees can bring their full selves to work and have equal opportunity to succeed.
- Aspires to continuously build impossible things with an incredible team.
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