Senior Machine Learning Engineer
Core
Building and training ML models for personalized workout and content recommendations in a fitness and wellness ecosystem.
Role type
Senior Machine Learning Engineer (Recommender Systems)
Builds
Real-time recommendation services, personalized plans, and AI-powered member experiences.
Domain
Fitness and wellness technology
Deliverable
production ML models
Required skills
Python, Spark, Airflow, AWS, S3, Kubernetes, Deep Learning, Transformers, LLMs, MLOps, REST/gRPC/FastAPI, A/B testing
Preferred skills
Java, Kotlin, Go, C, C++
Technologies
Python, Spark, Airflow, AWS, S3, Kubernetes, Transformers, FastAPI
Responsibilities
Build, train, evaluate, and improve ML models for personalized recommendations; Develop and maintain data and ML pipelines; Productionize, deploy, monitor, and optimize ML models; Improve real-time model serving latency and scalability; Support evolution toward unified rankers and inference services; Run A/B tests and analyze experiment results; Contribute to IQ initiatives including LLM-based features.
Seniority
Senior, hands-on IC