Conviva helps the world’s top brands to identify and act on growth opportunities across mobile and web apps, video streaming services, and Agentic AI experiences. Our platform delivers real-time performance analytics to transform every customer interaction into actionable insight, connecting experience, engagement, and technical performance to business outcomes. By analyzing client-side session data from all users as it happens, Conviva reveals not just what happened, but how long it lasted and why it mattered—surfacing behavioral and experience patterns that give teams the context to retain more customers, resolve issues faster, and grow revenue.

As a Senior Machine Learning Engineer, you will play a key role in advancing our AI initiatives and contributing to the development of our Real-Time Performance Analytics Platform. You will work across a broad range of ML technologies to create innovative, customer-focused solutions.

In this role, you’ll collaborate closely with vertical product teams to design and deploy ML models directly within product pipelines. You’ll work with other team members to build scalable ML tooling and infrastructure, combining research, product integration, and data development.

What Success Will Look Like:

Design, develop, and deploy machine learning models that power AI-based features across a large-scale data analytics platform.

Own ML systems end-to-end, from data ingestion and feature engineering to training, deployment, monitoring, and iteration in production environments.

Build and maintain ML infrastructure and MLOps pipelines for scalable, repeatable model development and deployment.

Collaborate with infrastructure and backend engineers and product teams to ensure ML solutions are aligned with platform performance and user needs.

Continuously evaluate model performance using robust testing, monitoring, and alerting systems for data and model drift.

Identify opportunities to improve system robustness and proactively detect data, device, or user level anomalies through intelligent alert mechanisms.

Drive technical decisions, code quality, and best practices for ML engineering within a small, high-impact team.

Who You Are and What You've Done:

PhD in Computer Science, Machine Learning, or a related technical field; OR a Master’s degree in Computer Science or Machine Learning with 2+ years of experience in machine learning engineering or a related field.

Proven track record of owning the ML lifecycle: data pipelines, model training, validation, deployment, monitoring, and optimization.

Strong software engineering background with 5+ years of experience and proficiency in modern languages like Python, Rust, Java, or Scala.

Experience with big data frameworks (e.g., RAY, Spark, Flink) and ML infrastructure (e.g., MLflow, Kubeflow, or custom pipelines).

Strong cross-functional collaboration skills and a bias toward proactive problem-solving, continuous improvement, and system-level thinking.

What Would Make You Stand Out (Bonus Points):

Experience with real-time data processing and analytics.
Familiarity with time series analysis and forecasting techniques.
Background in building AI-powered alerts, anomaly detection, or similar AI driven applications.
Familiarity with cloud-based ML deployment and MLOps best practices.

*This position will be based in our Foster City, CA office.

The expected salary range for this full-time position is $180,000 - $220,000 + equity + benefits. The actual level and compensation are determined by several factors, such as your qualifications, professional background, and relevant experience.

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!