We are looking for a Machine Learning Engineer to develop and improve machine learning systems focused on entity resolution, record matching, deduplication, and ranking.
Responsibilities:
• Design, train, and optimize machine learning models.
• Build and maintain data pipelines for model training and deployment.
• Analyze large datasets and improve model performance.
• Develop evaluation methodologies and monitor model quality.
• Investigate model failures and identify opportunities for improvement.
• Collaborate with engineering teams to deploy scalable solutions.
Requirements:
• 3+ years of professional machine learning experience.
• Strong Python programming skills.
• Experience with PyTorch.
• Experience with Hugging Face Transformers.
• Knowledge of scikit-learn and traditional machine learning techniques.
• Understanding of model evaluation and experimentation.
• Ability to work with large-scale datasets.
Nice to Have:
• Experience with entity matching, record linkage, or ranking systems.
• Experience building production ML pipelines.
• Familiarity with distributed data processing.
Position Type: Full-Time
Location: Remote
Learn more:
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