Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and deploy predictive models utilizing large-scale behavioral and event data, aimed at forecasting engagement, identifying optimal timing and audiences for messages, assessing list health, and uncovering customer segments.

• Refine LLMs using our proprietary data and outcomes to create a goal-oriented assistant that recommends actions and executes tasks on behalf of the customer.

• Design and manage the training and inference pipelines for these models, encompassing data preparation, training, evaluation, and deployment.

• Construct evaluation frameworks to validate that a model demonstrates true improvement prior to deployment, focusing on measurable real-world impact rather than solely offline metrics.

• Ensure consistent and structured model outputs, fostering trust in predictions and actions within a production environment.

• Collaborate with product and engineering teams that utilize your models as part of a shared infrastructure.

⛳️ Requirements

• Over 3 years of experience in developing and deploying ML models in production environments (beyond mere prototypes).

• Strong foundational knowledge in applied ML, including feature engineering, calibration, leakage prevention, and fair evaluation—especially concerning imbalanced and time-series data.

• Practical experience in LLM fine-tuning (at a minimum, supervised fine-tuning).

• Proficiency in Python and familiarity with the contemporary ML ecosystem (e.g., scikit-learn, gradient boosting, pandas/Polars, PyTorch).

• Competence in writing efficient SQL queries for large datasets and experience with event/columnar stores and relational databases.

• Experience in designing training and inference pipelines along with the necessary orchestration.

• A strong sense of accountability and the capacity to work independently within a remote, asynchronous team environment.

• Excellent written communication skills.

• Availability for at least 4 hours of overlap with the CET time zone.

🏝️ Benefits

• You will create machine learning solutions that reach actual customers.

• Stability in your role.

• Opportunities to take ownership of your projects.

• Access to a team of experts for support.

• Flexibility to choose your work location each day.

• Opportunities for personal and professional growth and development.