# Staff Machine Learning Engineer, ML Platform at Offerfit

- Company: Offerfit
- What the company does: Deliver 1:1 personalization with BrazeAI Decisioning Studio™. Use all your first-party data to maximize impact and create experiences unique to every customer. Backed by Menlo.
- Company website: https://offerfit.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: Austin
- Work setup: On-site
- Posted: 2026-09-16
- Apply by: 2026-10-31
- Apply: https://job-boards.greenhouse.io/braze/jobs/8209425
- Page: https://www.1752.vc/careers/jobs/offerfit-staff-machine-learning-engineer-ml-platform-2/

## About the role

Braze is seeking a Staff Machine Learning Engineer to join our Predictive and Generative AI (PGAI) team. The team's mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. We run those solutions as production systems at global scale, from the distributed pipelines that train models for each customer to the high-throughput APIs that serve predictions into our messaging systems across multiple regions.

## What they're looking for

- Hands-on experience with ML workloads in production. Training pipelines, model serving, feature systems, or ML platform tooling all count, deep modeling experience is a plus rather than a requirement
- A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output
- Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and the cost profile of what you run
- An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making
- Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray
- ML platform tooling such as MLflow or another model registry, feature stores, or ML observability

Tags: Engineering