Senior Machine Learning Engineer - Data Science & Machine Learning

The Data Science & Machine Learning team is looking for a Machine Learning Systems Engineer to scale and support our team capabilities. We are modeling experts who solve business challenges with durable data science solutions. We work cross-functionally to enable Squarespace to integrate data science models into the product and the company.

You will work closely with 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. You will also have the opportunity to design, train, and update models alongside Data Scientists. The Machine Learning Systems function is focused on Data Scientist success: our goal is to enable Data Scientists to move fast and succeed, whether via tooling, partnership, or hands-on operational support.

This is an opportunity for you to play a role in the deployment, scaling, and evolution of machine learning models using Google's Vertex AI platform. You will contribute to the strategy and implementation work to enable and unlock our growing machine learning capabilities.

This is a hybrid role working from our NYC office 3 days per week. You will report to the Manager of Machine Learning Systems.

You'll Get To...

• 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.
• Pair with team members or independently execute model training and updates
• 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 4+ years of experience working in a Machine Learning 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 deploying and scaling ML models in production. Experience training models is a plus.
• Knowledge of emerging ML technologies, tools, and industry best practices (e.g. vector databases, embedding models, open-source ecosystems)

Benefits & Perks

• A choice between medical plans with an option for 100% covered premiums including medical, dental, and vision
• Supplemental Life and Disability Insurance plans
• Fertility and adoption benefits
• Headspace mindfulness app subscription
• Global Employee Assistance Program
• Retirement benefits with employer match
• Flexible paid time off
• 12 weeks paid parental leave and family care leave
• Pretax commuter benefit
• Education reimbursement
• Employee donation match to community organizations
• 7 Global Employee Resource Groups (ERGs)
• Dog-friendly workplace
• Free lunch and snacks
• Private rooftop
• Hack week twice per year

Cash Compensation Range: $128,000 - $207,000 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 overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure in addition to base salary.

About Squarespace

Squarespace 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 and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, and Aveiro, Portugal. For more information about our company, 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 co