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# Software Engineer, Data/ML

- **Company:** Xoxo AI Inc
- **Location:** San Francisco, CA, United States
- **Salary:** $250,000.0
- **Contract:** Permanent contract
- **Skills:** BigQuery, Continuous Integration, Data Files, Data Warehousing, Dimensional Modeling, Software Engineering, Data Streaming, Reinforcement Learning, Feature Store, Real Time Systems, Snowflake, Multi-Agent Systems, Apache Spark, Kubernetes, Low Latency, Apache Flink, Machine Learning Operations, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-data-ml-san-francisco-ca--8dddb730-1bbd-462a-aba5-4d522dc328d5

## About the Role

Software Engineering, High Throughput, Data Modeling, Prototyping, Data Sets, Dimensional Modeling, Production Systems, Metrics, Machine Tool, Continuous Integration, * Shipped data and/or ML systems from prototype to production with strong reliability, scalability, and latency outcomes.

 * Strong command of data modeling and managing schema evolution in event-driven/streaming environments.
 * Deep experience with streaming and real-time processing (e.g., Flink, Spark), including correctness under late/out-of-order data.
 * Built or operated real-time feature pipelines and/or feature stores for low-latency inference.
 * Hands-on experience with modern data warehousing (e.g., Snowflake, BigQuery) and telemetry/event data standards.
 * Able to translate product and business questions into durable datasets, metrics, and contracts.

Preferred qualifications - we encourage you to apply if you meet some but not all of these:

 * Production experience with Ray.
 * Familiarity with MLOps tooling and practices (MLflow, Kubeflow, CI/CD for models, monitoring/drift).
 * Experience with multi-agent systems or reinforcement learning at scale.
 * Strong opinions and patterns for data contracts, observability, and testing for pipelines and serving systems.

A link to relevant code, technical writing, or project work is strongly encouraged.

## Description

We're hiring a Data/ML Engineer to build the data foundation and production-grade ML systems that make our product feel instantaneous, reliable, and smart. This is a full-cycle role: you'll architect high-throughput pipelines, define durable data models and contracts, and deploy low-latency feature and model serving that holds up under real-world load.

You'll work closely with the founders and early engineering team to take prototypes into production-turning messy real-world signals into trustworthy datasets and real-time capabilities that power core product experiences.

What You'll Do

 * Build and run high-throughput batch + streaming pipelines for analytics, training, and product signals.
 * Own real-time feature pipelines and online feature serving for low-latency inference.
 * Design and govern dimensional data models; handle schema evolution without breaking downstream consumers.
 * Implement and optimize model serving infrastructure to hit strict latency and reliability SLOs.
 * Define and enforce event schemas, telemetry standards, and data contracts across teams.
 * Partner with engineering, product, and research to turn ambiguous product needs into measurable, durable systems.