MLops Engineer

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:

• Develop and maintain cloud infrastructure for the leader alongside MIT PhDs, who are veterans of the top tech companies in the world.

• Pioneer scalable MLOps practices to support the deployment and monitoring of models for customers like Amazon & Google. The platform has several tools that automatically find & fix issues in datasets.

• Use the latest tooling to optimize data workflows, enhancing the efficiency of model training and deployment processes.

• Ensure the security and reliability of the infrastructure supporting MLops.

• Collaborate with top data scientists to integrate machine learning models into production environments.

What you'll need:

• A Bachelor's or Master's degree in Computer Science, Engineering, or related field from a highly recognized university.

• 5+ years of experience in MLOps, supporting data science and ML teams across the full lifecycle in a fast-paced, product-focused environment at a mix of startups and top tech enterprises.

• Strong skills in Python, PyTorch/PyTorch Lightning, Hugging Face, relational databases, AWS, Docker, Git, CI/Testing (e.g., Jenkins).

• Previous early-stage employee or founder experience at a venture-backed tech company is strongly preferred.

• Desire and ability to learn quickly, take professional initiative, and work 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:

• $140,000 - $210,000 a year

• Compensation is salary + meaningful equity in an early stage venture backed startup commensurate with experience.