Work In Tech

About Us:

Commit is working with a confidential partner on this role. Applicants proceeding to the next stage will receive further information about the employer and recruiting process.

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.