Senior Machine Learning Engineer

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.

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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

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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).

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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

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