You have 5+ years of experience building and deploying machine learning systems in production environments
You have deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms
You have strong proficiency in Python and hands-on experience building machine learning systems with PyTorch
You are experienced with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA
You have worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization
You care deeply about creating high-quality user experiences through thoughtful application of machine learning
You communicate effectively across technical and non-technical audiences and enjoy working in highly collaborative environments
You know how to design, execute, and interpret online experiments and A/B tests to improve user outcomes
You have experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks
You are experienced building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms