The Data Science & Machine Learning team is looking for a Machine Learning Systems Engineer to scale & 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 & the company.

You will work closely with other Machine Learning Engineers to develop & maintain the machine learning platform that underpins all production data science models to unlock value for Squarespace & its customers. You will also have the opportunity to design, train, & 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 & succeed, whether via tooling, partnership, or hands-on operational support.

This is an opportunity for you to play a role in the deployment, scaling, & evolution of machine learning models using Google's Vertex AI platform. You will contribute to the strategy & implementation work to enable & 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, & Product Engineers to identify opportunities & work around constraints to deliver ML systems
• Deploy, monitor, evaluate, & optimize production machine learning models in 24/7 customer-facing applications.
• Pair with team members or independently execute model training & updates
• Implement scalable & reliable systems to handle model inference at scale
• Develop & maintain automated pipelines for model training, testing, & deployment
• Improve CI/CD practices to enable rapid & reliable model updates to speed up iterative learning
• Respond to alerts & troubleshoot issues related to model deployment & infrastructure
• Design & develop robust endpoint APIs to enable software engineers across the product to integrate ML APIs into applications
• Develop, deploy, maintain & extend new technologies to enable & 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 & Vertex AI is a plus
• Experience deploying & scaling ML models in production. Experience training models is a plus.
• Knowledge of emerging ML technologies, tools, & 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, & vision
• Supplemental Life & Disability Insurance plans
• Fertility & adoption benefits
• Headspace mindfulness app subscription
• Global Employee Assistance Program
• Retirement benefits with employer match
• Flexible paid time off
• 12 weeks paid parental leave & family care leave
• Pretax commuter benefit
• Education reimbursement
• Employee donation match to community organizations
• 8 Global Employee Resource Groups (ERGs)
• Dog-friendly workplace
• Free lunch & snacks
• Private rooftop
• Hack week twice per year

Cash Compensation Range: $128,500 - $207,000 USD

The base salary for this position will vary based on job-related criteria including relevant skills, experience, & 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 & businesses online. We empower millions of customers in more than 200 countries & territories with all the tools they need to create an online presence, build an audience, monetize, & scale their business. Our suite of products range from websites, domains, ecommerce, & marketing tools, as well as tools for scheduling with Acuity & creating & managing social media presence with Bio Sites & Unfold. Our team of more than 1,500 is headquartered in bustling New York City, with offices in Dublin, Ireland, Aveiro, Portugal, & coworking spaces in the UK, Netherlands, & 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 & experiences with the world. Not only do we embrace & 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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