Member of Technical Staff - Foundational Model Data

Liquid AI; San Francisco (CA); On-site; USD 60,000 - 240,000; Full time

Job summary

Liquid AI is seeking a highly skilled Machine Learning Engineer to enhance its foundational model data processes. The successful candidate will be responsible for managing large datasets and developing pipelines for data generation, making a significant impact on AI system efficiency and effectiveness.

Qualifications

• B.S. + 5 years experience or M.S. + 3 years experience or Ph.D. + 1 year.
• Expertise in data curation, cleaning, and augmentation.
• Strong programming skills in Python.

Responsibilities

• Create and maintain data cleaning and filtering pipelines for large datasets.
• Gather datasets from the web and maintain synthetic data generation pipelines.
• Run ablation studies to evaluate dataset quality.

Skills

Data curation

Data cleaning

Data augmentation

Synthetic data generation

Programming in Python

Machine Learning frameworks

Debugging models

Working with LLMs

Education

B.S. in relevant field

M.S. in Computer Science/Engineering

Ph.D. in relevant field

Job description

Member of Technical Staff - Machine Leaning Engineer; Foundational Model Data

Join to apply for the Member of Technical Staff - Machine Leaning Engineer; Foundational Model Data role at Liquid AI

Member of Technical Staff - Machine Leaning Engineer; Foundational Model Data

1 month ago Be among the first 25 applicants

Join to apply for the Member of Technical Staff - Machine Leaning Engineer; Foundational Model Data role at Liquid AI

Liquid AI, an MIT spin-off, is a foundation model company headquartered in Boston, Massachusetts. Our mission is to build capable and efficient general-purpose AI systems at every scale.

Our goal at Liquid is to build the most capable AI systems to solve problems at every scale, such that users can build, access, and control their AI solutions. This is to ensure that AI will get meaningfully, reliably and efficiently integrated at all enterprises. Long term, Liquid will create and deploy frontier-AI-powered solutions that are available to everyone.

We are seeking a highly skilled Member of Technical Staff, Foundation Model Data to play a critical role in our foundation model development process. This role focuses on consolidating, gathering, and generating high-quality text data for pretraining, midtraining, SFT, and preference optimization.

Key Responsibilities

• Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data
• Watch out for the release of public dataset on huggingface and other platforms
• Create crawlers to gather datasets from the web where public data is lacking
• Write and maintain synthetic data generation pipelines
• Run ablations to assess new dataset and judging pipelines
  
  
  
  

Required Qualifications

• Experience Level: B.S. + 5 years experience or M.S. + 3 years experience or Ph.D. + 1 year of experience
• Dataset Engineering: Expertise in data curation, cleaning, augmentation, and synthetic data generation techniques
• Machine Learning Expertise: Ability to write and debug models in popular ML frameworks, and experience working with LLMs
• Software Development: Strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable code
  
  
  
  

Preferred Qualifications

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Math, or a related field
• Experience fine-tuning or customizing LLMs
• First-author publications in top ML conferences (e.g. NeurIPS, ICML, ICLR)
• Contributions to popular open-source projects
  
  

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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