Qualifications

• 10-15 years of experience in machine learning and AI-related roles preferred, but alternative relevant backgrounds are considered.
• Deep expertise in building and deploying large-scale machine learning systems in production environments.
• Proficient in Python and at least one major ML framework (like PyTorch or TensorFlow).
• Strong experience with recommendation systems, ranking models, and natural language processing (NLP).
• Expertise in working with Large Language Models and building production AI Agents.
• Proven capability in designing and implementing scalable ML pipelines using tools like Spark or Airflow.
• Demonstrated ability to influence technical strategy without direct authority.

Responsibilities

• Define and lead the technical strategy for AI and machine learning systems.
• Design and deploy production-grade models using modern ML frameworks to enhance user engagement.
• Build and deploy production AI Agents utilizing foundational Large Language Models and associated tools.
• Architect end-to-end ML pipelines, integrating data processing with model training and deployment.
• Drive experimentation frameworks such as A/B testing to enhance model performance and product outcomes.
• Collaborate cross-functionally to address business challenges through ML solutions.
• Mentor senior contributors and foster a culture of learning within the ML community.
• Champion responsible AI practices focusing on fairness, transparency, and user safety.

Benefits

• Opportunity to lead impactful AI initiatives that enhance user engagement and safety.
• Collaborative work environment with cross-functional partners including Product and Engineering teams.
• Focus on continuous learning and mentoring within a high-performing ML community.
• Involvement in shaping technical strategy and influencing senior stakeholders.
• Commitment to responsible AI practices, ensuring ethical guidelines are met.