Job Location: United States
Founded by 3 MIT ML PhDs, Cleanlab is a well-funded startup building open-source tools for data-centric Machine Learning.
At Cleanlab you’ll get to:
– Spend 100% of your time writing open-source ML, working with MIT PhDs prominent in ML research.
– Get paid a Silicon Valley engineer salary but have the ability to work remotely with flexible hours.
– Work with a modern tech stack (the latest tooling and ML models) at a dynamic startup to pioneer the rapidly growing field of data-centric AI.
– Tackle interesting science problems and publish papers/blogs.
If this sounds appealing, and you are an experienced software engineer or data scientist who loves building systems, then please reach out!
Internships and part-time work arrangements may also be available if you ask.
About Us:
Cleanlab is focused on data-centric AI (DCAI), providing algorithms/interfaces to help companies (across all industries) improve the quality of their datasets and diagnose/fix various issues in them. We develop next-generation DCAI algorithms that are publicly contributed via open-source (github.com/cleanlab), as well as SaaS enterprise products with interfaces for data scientists to effectively improve their data quality and produce more reliable ML models. Some of Cleanlab’s early work (while the company was still in stealth-mode) has been featured in various media such as: https://www.wired.com/story/foundations-ai-riddled-errors/
While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.
What we’re looking for:
- Strong software engineering skills and experience productionizing your code. You should be comfortable with large software systems and love building applications.
- Contributed to the open-source community for more than 4 years, either via your own open-source package or via substantial contributions to existing open-source repositories, written blog posts, and tutorials.
- Experience working in ML: processing data, deploying models, etc. We do not require deep theoretical ML expertise, but practical experience in ML projects is desired.
Responsibilities:
- Develop and contribute novel data-centric AI algorithms to Cleanlab’s open-source projects, via high quality implementations and maintaining the highest coding standards.
- Be a good member of the open-source community (address Github issues and queries, review PRs, write crisp documentation/tutorials, help integrate with other packages).
- Work on applied ML projects with Cleanlab enterprise customers.
- Collaborate with other engineers to build large-scale systems and help establish a strong engineering culture across the company.
Qualifications:
- Python, NumPy
- pandas, scikit-learn
- PyTorch/PyTorch Lightning or TensorFlow + Keras
- Bonus skills: MLOps Experience with model deployment and monitoring (MLflow, Sagemaker, etc.), Databases and ETL (Postgres, etc.), Cleanlab or other data-centric AI tools, AutoGluon, H2O, or other AutoML tools, Tableau, DataBricks, Alteryx, Trifacta, Hugging Face, Snorkel, Weights and Biases, Gradio, Streamlit
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