[Remote] Senior Software Engineer, ML/AI Platform

Note: The job is a remote job and is open to candidates in USA. Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. They are seeking a Senior Software Engineer for their Machine Learning Platform team, responsible for building and operating the ML data, tooling, serving, and inference layers of the ML platform to enhance their AI product suite.ResponsibilitiesUnlock offline & real-time access to trillions of data points for our ML and Data Science teamsManage, expand, and optimize our feature store that enables feature engineering, multi-TB scale training jobs, and offline / real-time inferencingSupport PB scale data operations on the feature store using Apache Spark, Spark Structured Streaming, Kafka, and RayPartner with other teams and business stakeholders to deliver ML and AI initiativesSkillsYou have been working in the areas of Data Engineering / MLOps for 5+ years, and have built and matured the pipelines of a PB-scale feature storeYou have deep Apache Spark, Spark Streaming, and Ray Data experience and built data pipelines for ML use cases using these toolsYou understand the correlation between data cardinality, query plans, configuration settings, and hardware and the impact of each on data pipeline performanceYou know/have created infrastructure for Training ML models/fine-tuning LLMsYou understand the key differences between online and offline ML inferences and can voice the critical elements to be successful with each to meet business needsBenefitsEquityBenefitsHealth & wellnessCompany OverviewAttentive is a personalized mobile messaging platform that facilitates businesses with AI powered SMS and e-mail marketing solutions. It was founded in 2016, and is headquartered in Hoboken, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is https://attentive.com.Company H1B SponsorshipAttentive has a track record of offering H1B sponsorships, with 9 in 2026, 32 in 2025, 21 in 2024, 9 in 2023, 8 in 2022, 8 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.