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. The Senior Software Engineer will join the Machine Learning Platform team to build and maintain a foundational ML platform that supports the entire ML lifecycle, enabling the ML organization to enhance Attentive’s AI product suite.
Responsibilities
- Unlock offline & real-time access to trillions of data points for our ML and Data Science teams
- Manage, expand, and optimize our feature store that enables feature engineering, multi-TB scale training jobs, and offline / real-time inferencing
- Support PB scale data operations on the feature store using Apache Spark, Spark Structured Streaming, Kafka, and Ray
- Partner with other teams and business stakeholders to deliver ML and AI initiatives
Skills
- You 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 store
- You have deep Apache Spark, Spark Streaming, and Ray Data experience and built data pipelines for ML use cases using these tools
- You understand the correlation between data cardinality, query plans, configuration settings, and hardware and the impact of each on data pipeline performance
- You know/have created infrastructure for Training ML models/fine-tuning LLMs
- You understand the key differences between online and offline ML inferences and can voice the critical elements to be successful with each to meet business needs
Benefits
- Equity
- Benefits
- Health & wellness
Company Overview
Attentive 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 Sponsorship
Attentive 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.