.The Data Science & Machine Learning team is looking for a Machine Learning Operations Engineer to scale and support our machine learning capabilities. You will work closely with Data Scientists and 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.This is an opportunity for you to play a role in the deployment, scaling, and maintenance of machine learning models using Google's Vertex AI platform. You will contribute to the strategy and foundational 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 our Business Performance Manager, Data Science & Machine Learning.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 systemsDeploy, monitor, evaluate, and optimize production machine learning models in 24/7 customer-facing applicationsImplement scalable and reliable systems to handle model inference at scaleDevelop and maintain automated pipelines for model training, testing, and deploymentImprove CI/CD practices to enable rapid and reliable model updates to speed up iterative learningRespond to alerts and troubleshoot issues related to model deployment and infrastructureDesign and develop robust endpoint APIs to enable software engineers across the product to integrate ML APIs into applicationsDevelop, deploy, maintain and extend new technologies to enable and enhance data scientists' capabilities for every step of the ML model life cycleWho We're Looking ForBachelor's Degree with 2+ years of experience working in a ML Ops or similar roleStrong competency with Python, proficiency with SQLExperience with cloud platforms. Knowledge of Google Cloud Platform and Vertex AI is a plusExperience working in a production environmentBenefits & PerksA choice between medical plans with an option for 100% covered premiumsFertility and adoption benefitsAccess to supplemental insurance plans for additional coverageHeadspace mindfulness app subscriptionRetirement benefits with employer matchFlexible paid time offUp to 20 weeks of paid family leaveEquity plan for all employeesPretax commuter benefitEducation reimbursementEmployee donation match to community organizations6 Global Employee Resource Groups (ERGs)Dog-friendly workplaceFree lunch and snacksPrivate rooftopCash Compensation Range: $110,500 – $178,250 USDThe base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors
