AI/ML Engineer
Core
Design, develop, train, and evaluate machine learning models for complex real-world problems, turning research ideas into practical solutions.
Role type
Senior IC machine learning engineer (research-to-production)
Builds
Production ML models, data pipelines, and infrastructure for an experience analytics platform
Domain
AI/ML, streaming analytics, quality-of-experience measurement
Deliverable
production ML models
Required skills
Machine learning, deep learning, probability, statistics, algorithms, data structures, Python, C++, PyTorch, TensorFlow, experimental design, error analysis
Preferred skills
Reinforcement learning, LLM fine-tuning/pre-training/post-training, large-scale/distributed model training, MLOps, model serving, Spark, Flink, research publications at top conferences
Technologies
PyTorch, TensorFlow, Python, C++, Spark, Flink, LLM
Responsibilities
Design and develop ML models for complex problems; own the ML development lifecycle from data preparation to evaluation; design rigorous experiments and define metrics; collaborate with engineering and product teams to implement solutions; contribute to ML tools and infrastructure; investigate technical challenges and improve model quality
Seniority
Senior, hands-on IC
