PayPal AI Labs is looking to explore, prototype, and deploy next-generation AI technologies to power autonomous commerce, specifically focusing on agentic AI and digital agents capable of complex reasoning and task execution within shopping journeys.
Requirements
- Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
- Proven track record of leading the design, implementation, and deployment of machine learning models.
- Hands-on experience with LLMs, multi-agent systems, or autonomous agents.
- Strong background in distributed systems, MLOps, and experimentation platforms.
Responsibilities
- Define and drive the strategic vision for machine learning initiatives within the team.
- Lead the development and optimization of machine learning models.
- Oversee the preprocessing and analysis of large datasets.
- Deploy and maintain ML solutions in production environments.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models, making necessary adjustments.
- Mentor and guide junior engineers and data scientists.
Other
- Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Advanced degree (Ph.D./Master’s) in Computer Science, AI, Machine Learning, or related field.
- Contributions to open-source projects, research publications, or patents in AI.
- Experience working in AI research teams or innovation-focused environments.
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