Senior Machine Learning Engineer

You will be joining the team that designs, builds, and scales machine learning systems powering personalization and customer engagement at large scale. This is an opportunity to work on production-ready ML pipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions of users.

Your responsibilities will include:

• 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).

Soft Skills:

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

We offer:

• Opportunities to shape large-scale personalization technology.
• Competitive compensation package that matches your skills and experience.
• Professional growth, conferences, and skill development budget.
• Flexible remote work with support for your productivity.
• Collaborative and innovative environment where impact is valued over years of experience.
• Online&Offline activities