Senior ML Engineer

Responsibilities

* Developing pipelines that transform behavioral, demographic, and contextual
data into real-time features;
* Designing APIs and services for low-latency prediction and decision-making;
* Implementing frameworks for A/B testing, exploration/exploitation strategies,
and model evaluation;
* Working closely with product and engineering teams to balance engagement,
business value, and compliance;
* Establishing monitoring, logging, and retraining workflows to continuously
validate and improve models.

What we expect from you:

* 5+ years of applied ML engineering experience (recommendation systems,
personalization, ranking, or ads);
* Strong background in Python and/or Go, SQL, and ML frameworks such
as TensorFlow or PyTorch;
* Experience deploying real-time ML systems (low-latency serving, feature
stores, event-driven architectures);
* Familiarity with cloud ML platforms (Vertex AI, SageMaker, or similar);
* Experience with data warehouses (BigQuery, Snowflake, Redshift);
* Understanding of multi-objective optimization and trade-offs
in personalization;
* Ability to thrive in a fast-paced, startup-style environment

Will be a plus:

* Experience in martech, adtech, CRM, or large-scale consumer personalization;
* Exposure to bandit algorithms or reinforcement learning;
* Prior work on systems serving millions of users at scale;
* Experience with Google Cloud Platform (GCP).