For our client, we are looking for a Senior Machine Learning Engineer.
Join a highly skilled team that designs, builds, and scales machine learning systems powering personalization and customer engagement on a massive scale. You'll work on production-grade ML pipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions of users worldwide.
5+ years of applied experience in ML engineering (recommendation systems, personalization, ranking, or ads).
Strong proficiency in Python and/or Go, SQL, and frameworks like TensorFlow or PyTorch.
Hands-on experience deploying real-time ML systems (feature stores, event-driven architectures, low-latency prediction).
Familiarity with cloud ML platforms such as Vertex AI, SageMaker, or similar.
Experience with data warehouses (BigQuery, Snowflake, or Redshift).
Understanding of multi-objective optimization and trade-offs in personalization.
Excellent communication skills and fluent English.
Ability to work 9 AM - 4 PM EST.
Nice to have:
Experience in martech, adtech, CRM, or large-scale personalization.
Knowledge of bandit algorithms or reinforcement learning.
Experience working with Google Cloud Platform (GCP).
Background in systems serving millions of users.
Build and optimize ML pipelines that convert behavioral, demographic, and contextual data into real-time features.
Design and implement low-latency APIs for predictions and decision-making.
Develop frameworks for A/B testing, model evaluation, and exploration/exploitation strategies.
Collaborate with product and engineering teams to align ML initiatives with business goals and compliance.
Establish monitoring, logging, and retraining workflows to maintain model performance and reliability.
Opportunity to shape large-scale personalization technologies used by millions.
Competitive compensation aligned with your expertise.
Professional growth through conferences and training budgets.
Remote work flexibility with strong team support.
A collaborative and innovative environment that values impact over seniority.
Engaging online & offline activities for team connection.