#7218059
Design, build, and deploy ML models for domain search, including ranking, personalization, and generative domain name creation. Integrate and fine-tune LLMs and hybrid systems (LLMs + rule-based + classical ML) to create brandable, contextual, and internationalized domain suggestions.
Develop and evaluate ranking algorithms that optimize for multiple signals such as relevance, uniqueness, brandability, and business goals.
Implement personalization approaches leveraging user, account, and demographic data to tailor search results.
Collaborate with engineers, data scientists, and product managers to translate ambiguous product ideas into technical requirements and scalable ML solutions.
Own end-to-end ML lifecycle: from feature engineering, model training, and evaluation to deployment, monitoring, and iterative improvement.
Contribute to experimentation frameworks (A/B testing, Statsig, etc.) to measure model impact and continuously improve user experience.
Ensure search quality at scale by developing robust evaluation pipelines and metrics.
Who We're Looking For
5+ years of professional experience in machine learning engineering, with at least 2 years at a senior/lead IC level.
Strong background in search, ranking systems, or recommendation engines.
Experience with NLP and LLMs (prompt engineering, fine-tuning, or integration into production systems).
Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and data tooling (Spark, SQL).
Experience deploying ML models to production and scaling them to handle large traffic volumes.
Familiarity with A/B testing and online experimentation methodologies.
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
Global Employee Assistance Program
Retirement benefits with employer match
Flexible paid time off
20 weeks for parental leave and up to 12 weeks to care for an ill family member
Pretax commuter benefit
Education reimbursement
Employee donation match to community organizations
8 Global Employee Resource Groups (ERGs)
Dog-friendly workplace
Free lunch and snacks
Private rooftop
Hack week twice per year
Cash Compensation Range: $128,500 - $231,500 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), Squarespace employees are eligible to be granted an option to purchase our common stock.
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 1,500 is headquartered in bustling New York City, with offices in Dublin, Ireland, Aveiro, Portugal, and coworking spaces in the UK, Netherlands, and Australia. For more information about our company culture, visit https://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.
#LI-Hybrid
Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process.
Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.