Research Scientist/Engineer, L5/L6 – AI for Member Systems

Job Description: • Drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions • Explore and apply state-of-the-art AI/ML techniques including LLM pretraining, fine-tuning, and robust offline experimentation • Develop production-ready systems and scale machine learning solutions • Work on personalization, recommendations, search, content understanding, messaging, targeting, new member acquisition, and evidence • Collaborate within multi-disciplinary teams and communicate research results to stakeholders • Set priorities and maintain strong execution focus in a dynamic, fast-paced environment • Mentor or lead technical efforts and contribute to technical leadership when applicable Requirements: • Ph. D or Masters in Computer Science or related fields • 6+ years of research experience with a track record of delivering quality results • Deep expertise in machine learning, including supervised and unsupervised learning • Practical experience in LLM development, including pretraining, fine-tuning, and post-training techniques such as fine-tuning and distillation • Strong software engineering skills; Required: Python, TensorFlow, PyTorch • Nice to have: Java, Scala, Spark, Hive, Jax, Flink, Hadoop • Excellent interpersonal, written, and verbal communication skills • Preferred: Proven experience as a technical leader • Skilled in collaborating with cross-functional teams • Research publications in peer-reviewed journals and conferences on relevant topics (preferred) • Hands-on experience in distributed training, reinforcement-learning-based training of LLMs, conversational agents, and personalization (preferred) • Proficiency with cloud computing platforms and large web-scale distributed systems (preferred) • Applied research experience in industrial settings (preferred) • Contributions to open source (preferred) • Experience in one or more: search, natural language processing, knowledge graphs, conversational agents, personalization, reinforcement learning Benefits: • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Paid time off: Full-time hourly employees accrue 35 days annually; Full-time salaried employees have flexible time off • Ability to choose compensation mix between salary and stock options Apply tot his job