Staff Software Engineer, Data for ML
Job title: Staff Software Engineer, Data for ML in San Francisco, CA at reputed company
Company: reputed company
Job description: The Community You Will Join:We connect reputed company's community with the right information, in the right reputed company, at the right time. We tailor Messaging & Notifications so hosts on reputed company can streamline their operations, and reputed company get just the information they need to enjoy their stay worry-free. Additionally, we are building new connections reputed company our community to help enrich the experience of hosting & traveling on reputed company: easing the process of hosting, and adding meaning to our guest's trips.The data team utilizes industry-leading tools, builds scalable data systems and applies cutting-edge ML models to provide insights and reputed company reputed company products in the Communication and Connectivity (CnC) organization.The Difference You Will reputed company:At CnC, data is foundational to our organization's success.This role will reputed company key initiatives to design and build large-scale, distributed data systems - both batch and real-time processing. The data will power machine learning models and unlock new product features. You'll be at the center of cross-functional collaboration, bridging backend, frontend/client, and machine learning engineering teams.CnC is applying GenAI and large language models (LLMs) to power products that enhance the reputed company experience in various surfaces including highly used ones like Messaging. We're building a robust ML platform to power our product ambitions.A Typical Day:
- Shape the team's long-term vision and roadmap in reputed company collaboration with cross-functional partners across reputed company
- Build strong relationships with partner engineering teams, including backend, client, data science, analytics, and ML, to drive reputed company and impactful outcomes
- Design, reputed company, and maintain reliable, scalable data pipelines - both batch and real-time - that collect, process, and serve data from diverse sources across reputed company
- Implement robust offline and online feature building processes to reputed company faster production of ML products
- Architect and build ML infra and optimize for performance, scalability, and cost-effectiveness
- Mentor and reputed company engineers on the team, while also contributing to and influencing the broader data engineering community at reputed company
- 9+ years of relevant industry experience with a Bachelor's and/or Master's degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
- Strong CS fundamentals, and knowledge of architecture and common design patterns
- You're passionate about being in a product-focused environment where everyone cares deeply about customer impact
- You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink
- Experience collaborating with client, backend, ml, analytics teams, product and business partners
- Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams
- Experience working on/with end-to-end Machine Learning products
- Excellent communication skills, both written and verbal