echojobs.io
Login

Liquid AI

Member of Technical Staff - ML Research for Data Generation

Boston, MA San Francisco, CA
Machine Learning PyTorch
Search for More Jobs
Description
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 ML Engineer to play a critical role in our foundation model development process. The ideal candidate will be responsible for designing, developing, and implementing sophisticated synthetic and real-world data generation strategies that will feed and improve our AI model's training pipeline.

Key Responsibilities
Design and implement comprehensive data generation strategies for foundation model training
Develop synthetic data generation techniques that enhance model performance and diversity
Curate, clean, and validate large-scale real-world datasets
Create advanced data augmentation and transformation pipelines
Ensure data quality, ethical considerations, and bias mitigation in data generation
Develop tools and frameworks for reproducible and scalable data generation
Monitor and assess the impact of generated data on model performance

Required Qualifications
Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or related field
Experience in data generation, synthetic data creation, or machine learning data pipelines
Strong programming skills
Experience with machine learning frameworks, ideally Pytorch
Deep understanding of generative AI techniques
Expertise in data augmentation, transformation, and cleaning methodologies
Strong statistical and mathematical background

Preferred Skills
Experience with large language models or multimodal foundation models
Knowledge of differential privacy and data anonymization techniques
Experience with data ethics and bias detection
Publications or research in synthetic data generation
Understanding of scalable data processing architectures
projects
Liquid AI
Liquid AI
Artificial Intelligence (AI) Generative AI Information Technology Machine Learning

0 applies

1 views

Other Jobs from Liquid AI

Similar Jobs

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 401 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

To try it out

For active job seekers

For those who are passive looking

Cancel anytime

Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
  • We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
  • We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
  • Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
  • Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
  • Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅

What Fellow Engineers Say