Machine Learning developer

Senior Machine Learning Engineer

About the role

You will join a team that designs, builds, and scales ML systems for personalization and user engagement at large scale. You’ll work with production-grade pipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions of users.

Responsibilities

• Develop pipelines that transform behavioral, demographic, and contextual signals into real-time features
• Design low-latency APIs/services for online prediction and decision-making
• Implement A/B testing, exploration/exploitation strategies, and robust model evaluation
• Collaborate with product and engineering teams to balance engagement, business value, and compliance
• Set up monitoring, logging, drift detection, and retraining workflows to keep models stable in production

Requirements

• 5+ years of experience in applied ML engineering (recommendation systems, personalization, ranking, or ads)
• Strong hands-on experience with Python (and/or Go), SQL, and ML frameworks such as TensorFlow or PyTorch
• Experience deploying real-time ML systems (feature stores, event-driven architectures, low-latency serving)
• Familiarity with cloud ML platforms (Vertex AI, SageMaker, or similar)
• Experience working with modern data warehouses (BigQuery, Snowflake, Redshift)
• Understanding of multi-objective optimization and trade-offs in personalization
• Comfortable working in a fast-paced, product-focused environment

Nice to have

• Experience in martech/adtech/CRM or large-scale B2C personalization
• Familiarity with bandit algorithms or reinforcement learning
• Experience running systems serving an audience of “millions of users”
• Practical experience with GCP

Soft skills

• Fluent English; clear and structured communication
• Proactive mindset and ownership of results
• Willingness to overlap working hours with 9:00–16:00 EST

What we offer

• Salary: $5,000–6,000
• Opportunity to influence large-scale end-to-end personalization technologies
• Competitive compensation aligned with experience and impact
• Budget for conferences, courses, and professional development
• Flexible remote format that supports productivity
• Collaborative, experiment-friendly culture with a focus on outcomes
• Online and offline team activities

If this sounds interesting, please send your full, updated CV with a link to your Telegram 🙂