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Senior Machine Learning Engineer, Ads Foundational Representations - reddit
ML Engineer
Senior Machine Learning Engineer focused on building scalable, high‑performance models for ad‑related signals, leveraging Python, deep learning frameworks, and large‑scale data pipelines to drive next‑generation advertising insights.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models that generate foundational representations for advertising signals.
- Collaborate with data scientists and engineers to ingest, clean, and transform massive datasets using Spark and SQL.
- Implement end‑to‑end pipelines in Python, utilizing PyTorch/TensorFlow for model training and inference.
- Optimize model performance and latency through feature engineering, hyper‑parameter tuning, and distributed training techniques.
- Maintain model monitoring, logging, and A/B testing frameworks to ensure reliability and continuous improvement.
Requirements
- 5+ years of experience building machine learning systems in a production environment.
- Strong proficiency in Python, deep learning libraries (PyTorch/TensorFlow), and data engineering tools (Spark, SQL).
- Hands‑on experience with large‑scale feature stores and model serving infrastructure.
- Excellent problem‑solving skills and ability to translate business objectives into technical solutions.
- Effective communicator who thrives in cross‑functional, fast‑paced teams.
Skills
pythonmachine learningdeep learningnlppytorch