remote
Machine Learning Engineer - Quantcast
ML Engineer
Lead the design and deployment of AI‑driven models that power a high‑scale advertising platform, leveraging Python, AWS, and advanced machine learning techniques to optimize campaign performance and deliver measurable business outcomes.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy machine learning models that drive real‑time bidding and audience targeting for a global DSP.
- Collaborate with data scientists, product managers, and infrastructure teams to translate business requirements into scalable ML solutions.
- Implement end‑to‑end pipelines using Python, SQL, and AWS services (S3, SageMaker, Lambda) to ingest, process, and serve data at scale.
- Monitor model performance, conduct A/B testing, and iterate to improve accuracy and latency.
- Document model logic, data lineage, and performance metrics for internal stakeholders and external audits.
Requirements
- 5+ years of experience building production ML systems in a high‑volume advertising or media tech environment.
- Strong proficiency in Python, SQL, and AWS cloud services.
- Hands‑on experience with deep learning frameworks (TensorFlow, PyTorch) and model deployment tools.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced setting.
- Effective communication skills and a passion for data‑driven decision making.
Skills
pythonmachine learningawsdeep learning