Machine Learning Operations Engineer

neers, 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

Who We're Looking For

• 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

• Private rooftop

Cash Compensation Range: $110,500 - $178,250 USD

The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors.

In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include on-target commissions or overtime pay), all Squarespace employees are eligible to receive equity in the company as part of their total compensation.

About Squarespace

Squarespace (NYSE: SQSP) is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity, creating and managing social media presence with Bio Sites and Unfold, and hospitality business management via Tock. Our team of more than 1,700 is headquartered in bustling New York City, with offices in Chicago, Dublin, Ireland, Aveiro, Portugal, and coworking spaces in the UK, Netherlands, and Australia. For more information about our company culture, visit https://www.squarespace.com/about/careers .

Our Commitment

Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

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