- Company Size - 25 People
- Approx Funding - $30M
- Company Stage - Series A
- Backed by: Databricks Ventures, Bain Capital Ventures, Menlo Ventures
- Industry - AI, ML, Databases, DCAI
- Founding year
- Tech Stack/Key Tech: Python, Pandas, scikit-learn, NumPy, Jupyter, PyTorch/PyTorch Lightning, Hugging Face, relational databases, AWS, Docker, Git, Jenkins, Sagemaker, MLflow, Databricks, Snowflake, Redshift, ELT tools, Cleanlab, and LangChain.
- Leverage new Generative AI advances to create tools that automatically find & fix issues in datasets alongside MIT PhDs, who are veterans of the top tech companies in the world.
- Pioneer scalable ML practices to supportndeployment of cutting-edge products for customers like Amazon & Google. The platform has several tools that automatically find & fix issues in datasets.
- Collaborate with companies across diverse industries to tackle high-impact Data/AI challenges.
- Lead and inspire a brilliant team of ML engineers in building the most effective Data-Centric AI platform.
- Contribute to the community through publishing articles and open-source code.
- Ph.D. in Machine Learning from a highly recognized university or equivalent tech industry experience.
- 5+ years of experience, in a fast-paced, product-focused environment at a mix of startups and top tech enterprises
- Notable publications or other industry recognition.
- Exceptional Python skills and experience in productionizing code/models in cloud environments.
- A history of early-stage or founder experience at a venture-backed tech company is strongly preferred.
- A proactive mindset with the ability to learn quickly, take initiative, and thrive in a fast-paced environment.
- Competitive Salary with significant equity in an early stage pioneer of DCAI backed by top investors.
- Comprehensive benefits include premium health insurance, Unlimited PTO, Unlimited Sick Days, Parental leave, and more.
- Unique travel allowance.
- Unprecedented career progression opportunities.
- The opportunity to work with brilliant founders, solving some of the most complex data problems in the world.
- $190,000 - $260,000 a year
- Compensation is salary + meaningful equity in an early stage venture backed startup commensurate with experience.
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