Senior Machine Learning Engineer to $7000

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.

• The Ideal Candidate

  • 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.

   

  What You Will Do

  • 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.

   

   

  What the Company Offers

  • 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.