Conviva is the first and best place to go to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry—capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real time and at a fraction of the cost of alternative solutions. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue.
Why You're Excited About This Opportunity:
Design, construct, support, and integrate ML applications directly influencing company growth. Explore diverse ML technologies, expanding your technical expertise. Operate in a relatively small team, taking ownership of projects from inception leveraging your industry experience. You will play a critical role in fostering team culture and ML engineering best practices. Mentor early-career/mid-career ML engineers.
What Success Will Look Like:
Being proactive and always pushing to improve what is existing: infra, architecture, tools, processes, team culture, etc Possessing a passion and curiosity for data Demonstrating a rapid learning and adaptation mindset, embracing the role of a full-stack ML engineer with a broad scope encompassing data exploration, processing, model implementation, and server integration Approaching novel problems with an open mind, leveraging the experience of yours and others, knowing when to seek assistance, and stretching your comfort zone Taking ownership of your work, and partnering with cross-functional peers to ensure proper project scoping and implementation
Who You Are & What You've Done:
Master's or PhD in Computer Science, Mathematics, Statistics or a related field. Strong knowledge of Machine Learning fundamentals, probability and statistics, algorithm and data structure. 5+ years of industrial experience in developing and deploying machine learning models at scale. 5+ years of technical expertise in machine learning frameworks such as PyTorch, TensorFlow, etc. 3+ years of Industry experience working with end-to-end ML Systems in a production environment, which includes but is not limited to data pipeline, feature engineering, model serving, monitoring, MLOps, etc (Plus) 3+ years of experience with big data frameworks, such as Spark, Flink, Hadoop/Hive, etc. (Plus) Experience in NLP and performance tuning and analysis over LLMs or distributed systems. Experience building scalable data infrastructure using commercial and open-source tools. Strong programming skills in at least one modern programming language (Python, Rust, C++, Java, etc.) Good English communication skills.
Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.