MLops Engineer
San Francisco
Full Time Mid-level / Intermediate USD 140K - 210K
Commit
Imagine having a Hollywood Agent - delivering roles and advice. That's it. Leveraging AI, your agent will scout, pre-screen, and connect you to premium jobs that are tailored to your goals, saving you countless hours of hunting.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.
Tags: AWS Computer Science Databricks Docker ELT Engineering Git Jupyter LangChain Machine Learning MLFlow ML models MLOps Model training NumPy Pandas Python PyTorch RDBMS Redshift SageMaker Scikit-learn Security Snowflake Testing
Perks/benefits: Career development Competitive pay Equity Health care Parental leave Startup environment Unlimited paid time off
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