MLops Engineer
Commit
Los Angeles, CA, USA · San Francisco, CA, USA
Posted on Thursday, May 2, 2024
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:
- 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.