Senior ML Engineer

We’re expanding our team with a talented Machine Learning Engineer who will help us bring intelligence into our messaging ecosystem. You’ll work on models that optimize message deliverability, predict engagement, and personalize communication at scale.

Your impact will be tangible — improving how millions of users receive notifications and interact with our platform in real time.

Requirements

• 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;
• 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);
• Fluent English and strong communication skills;
• Proactive and positive attitude;
• Ability to work 9am — 4pm EST.

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.