Machine Learning Operations Engineer
We are seeking a Machine Learning Operations Engineer to scale and support our machine learning capabilities.
You will work closely with Data Scientists and other Machine Learning Engineers to develop and maintain the machine learning platform that underpins all production data science models to unlock value for Squarespace and its customers.
This is an opportunity for you to play a role in the deployment, scaling, and maintenance of machine learning models using Google's Vertex AI platform.
Key Responsibilities:
* Collaborate with Data Scientists, ML Engineers, Site Reliability Engineers, and Product Engineers to identify opportunities and work around constraints to deliver ML systems
* Deploy, monitor, evaluate, and optimize production machine learning models in 24/7 customer-facing applications
* Implement scalable and reliable systems to handle model inference at scale
* Develop and maintain automated pipelines for model training, testing, and deployment
* Improve CI/CD practices to enable rapid and reliable model updates to speed up iterative learning
* Respond to alerts and troubleshoot issues related to model deployment and infrastructure
* Design and develop robust endpoint APIs to enable software engineers across the product to integrate ML APIs into applications
* Develop, deploy, maintain and extend new technologies to enable and enhance data scientists' capabilities for every step of the ML model life cycle
Requirements:
* Bachelor's Degree with 2+ years of experience working in a ML Ops or similar role
* Strong competency with Python, proficiency with SQL
* Experience with cloud platforms. Knowledge of Google Cloud Platform and Vertex AI is a plus
* Experience working in a production environment
Benefits & Perks:
* A choice between medical plans with an option for 100% covered premiums
* Fertility and adoption benefits
* Access to supplemental insurance plans for additional coverage
* Headspace mindfulness app subscription
* Retirement benefits with employer match
* Flexible paid time off
* Up to 20 weeks of paid family leave
* Equity plan for all employees
* Pretax commuter benefit
* Education reimbursement
* Employee donation match to community organizations
* 6 Global Employee Resource Groups (ERGs)
* Dog-friendly workplace
* Free lunch and snacks