About the company:
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 - 2021
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.
We're looking for a Machine Learning Engineer to:
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.
What you'll need:
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.
What you'll get:
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.
Compensation:
$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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