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Heartex / Label Studio | SFBA, Remote | Full-time

We're the leading open-source solution for data labeling with 6K+ stars on GitHub! If you're excited about Data Science & Machine Learning, we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks.

Product Manager: Own and develop our flagship open-source product Label Studio

Evangelist: Engage data science community and build meaningful relationships

Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software.

We're a passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If you want to start a conversation feel free to reach out to me michael@heartex.com


Heartex / Label Studio | SFBA, Remote preferable | Full-time

We're the leading open source solution for data labeling with 6K+ stars on GitHub! If you're excited about Data Science & Machine Learning we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks.

Product Manager: Work on Label Studio directly, managing multiple lines of product feedback (open source users, customers, internal ideas). Help prioritize and improve features, connecting that to the product metrics.

Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software. Troubleshoot any of the deployment / software issues they may have. You need to have a good understanding of Infrastructure/DevOps/Deployment practices and be empathetic towards people and their problems.

We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management experience.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If you want to start a conversation feel free to reach out to me michael@heartex.com

#open source #machine learning #data science #ml #django #python


Heartex / Label Studio | SFBA, Remote preferable | Full-time

We're the leading open source solution for data labeling with 5K+ stars on GitHub! If you're excited about Data Science & Machine Learning we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks.

Head of Engineering: Lead open source engineering team as well as organize developers' community, their contributions, feature requests, feedback, manage backlog, and development process. We have big plans in terms of open source growth and you'll be leading a lot of that.

Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software. Troubleshoot any of the deployment / software issues they may have. You need to have a good understanding of Infrastructure/DevOps/Deployment practices and be empathetic towards people and their problems.

We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management experience.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If you want to start a conversation feel free to reach out to me michael@heartex.com


Excited to post about this, Label Studio – open source data labeling tool we've started working on more than a year ago is hitting v1.0 with a lot of new goodies.

We originally started working on it due to the complexity of bringing ML systems to production. So much depends on data quality, and dataset understanding, but the tooling to help you with that process was just not there. You probably know that first hand if you've worked on production ML systems.

With this release Label Studio gets multi-user labeling. It's important because advanced and accurate supervised ML systems are a product of collaboration between people. Using accounts users can work on the same datasets and each user’s annotations are tied to their account. Using Projects you can streamline managing and work on different datasets, projects as well can be shared with other users. It can be embedded into the ML pipeline for humans in the loop and online learning scenarios.You can use Label Studio for computer vision, NLP, speech processing, time series analysis, and more

Would love to hear your feedback!


Heartex / Label Studio | San Francisco, SFBA, Remote | Full-time

If you're excited about Data Science, Machine Learning, and AI (with a related Data Science background) and is interested in a Community Manager position to help ML Engineers get the most out of our open-source data labeling product, promote its usage, build use-cases, then send me a note at michael@heartex.net

We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and management experience and provide weak supervision to automate it as much as possible.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio


Heartex / Label Studio | Anywhere USA | Remote OK | Full time

If you have a passion for Data Science, Machine Learning, and AI (with a related Data Science background) and is interested in a Community Manager position to help ML Engineers get the most out of our open-source data labeling product then send me a note at michael@heartex.net

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio


If there is interest, we're working on time-series data labeling tool. Sneak peek at it here:

https://htx-pub.s3.amazonaws.com/Screen+Shot+2020-06-17+at+1...

If you think it might be useful and you want to try it out drop me an email michael @ heartex.net


Great read. A lot of those problems are real, and some of those I’ve experienced myself. But I think at least some of them are related to the immaturity of the field. We’re only at the beginning of creating the tools and platforms to facilitate DS, making it more reproducible and easier to measure.

For example, I’m working on the tool to make data management easier and convert datasets into a structured representation. If you have experienced that you spend a lot of time on preparing and analyzing data, and it is tedious, please reach out to me michael at heartex.net, would love to get your feedback on the product we have built so far.


> But I think at least some of them are related to the immaturity of the field.

I agree. More so, I sometimes feel that in the end the field will break up once things start settling down. Some roles will migrate more towards engineering, some will go back towards data analysis.

The expectation that a data scientist is a funnel that can turn anything into magical insights and tools can't last forever.


Heartex / Label Studio | Senior FrontEnd Engineer / FullStack Engineer | Full-Time | Remote

Hey there, Michael here, one of the founders. We're building a data management platform for Machine Learning.

As a part of the core engineering team, you'll be working on our open-source data labeling tool https://labelstud.io/ as well as a commercial offering. There is a lot of exciting work! I'd say that this is nowadays a rare position where you'd use and/or learn how to use data structures like trees, queues, and graphs. We're a small team of ML/AI experts, VC-funded, working on a challenging problem, and I welcome you to join the journey!

Our current stack is: React, mobx-state-tree, django, drf

Email me michael @ heartex.net with links, texts, and anything you find worth sharing.

Ctrl+F: We're also hiring for a Marketing position, you're T-shaped, act quick, think fast, and have experience working in competitive markets.


Check out our open-source tool called Label Studio, https://labelstud.io and we have a commercial offering that does exactly this, finetuning the models.


I actually checked out your github repo and saw your framework that enables integration of trained models into your tool for active learning. Looks awesome! https://github.com/heartexlabs/pyheartex


It would be great if your tool integrates popular object detection frameworks such as TF Object Detection API. Would save people a lot of headache installing and configuring in order to begin finetuning


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