Founding Machine Learning Engineer, Domains Search
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Job Location:
New York City, NY - USA
Monthly Salary:
$ 134900 - 248380
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
The Domains Search team at Squarespace is building the next generation of intelligent search experiences for helping customers find the perfect domain. From leveraging large language models to generate creative domain suggestions to building scalable ranking and personalization systems our team sits at the intersection of applied machine learning natural language processing and large-scale search & recommendation infrastructure.
We are looking for Senior Machine Learning Engineers to build our search platform from the ground up with focuses on retrieval and ranking. You will report to the Engineering Manager of the Domains Search team in our New York City headquarters.
Why Join Us
This is a unique opportunity to shape a greenfield ML initiative at Squarespace. As part of a small high-impact team youll have influence over how we build our search platform and how millions of customers discover their online identity. If youve wanted to build a next generation of search system with few legacy constraints wed love to hear from you.
Youll Get To...
- Be one of our founding MLEs owning key parts of this scope (retrieval or ranking) and contributing across the stack as the team grows.
- Design build and deploy hybrid search systems (classical ML genAI rule-based) for generative domain name search which balance relevance latency and scale.
- Lead technical direction in retrieval (index design query parsing retrieval strategies) or ranking (learning-to-rank multi-objective optimization).
- Lead embedding model selection post-training optimization and evaluation to power both semantic retrieval and ranking features.
- Collaborate with engineers data scientists and product managers to translate ambiguous product ideas into technical approaches (including build vs. buy decisions).
Who Were Looking For
- 5 years of professional experience in machine learning engineering with at least 2 years focused on search retrieval ranking or recommendation systems.
- Experience building production search or ranking systems end-to-end whether standing up new systems or leading architectural shifts.
- Depth in two or more of: retrieval (indexing vector search) ranking (learning-to-rank multi-objective optimization) or embeddings. LLM integration is a plus.
- Comfort owning strategy to help shape our roadmap while building high-quality technical solutions.
- Strong architectural judgment with an ability to evaluate tradeoffs and communicate decisions clearly to both technical and non-technical stakeholders.
- Proven ability deploying and operating ML systems at scale ensuring reliability performance and quality under high traffic volumes.
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
- 12 weeks paid parental leave and 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 and snacks
- Private rooftop
- Hack week twice per year
Cash Compensation Range: $134900 - $248380 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 1700 is headquartered in New York City with offices in Dublin Ireland and Aveiro Portugal. For more information about our company visit 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.
Required Experience:
IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
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