Machine Learning Engineer 4 - Machine Learning Foundations (MLX)
Core
Design, build, and deliver production ML models and components to solve real-world business problems at scale.
Role type
Senior IC Machine Learning Engineer
Builds
Production ML models, optimized data pipelines, and cloud-based ML architectures
Domain
Financial services / Machine Learning
Deliverable
production ML models
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, Kubernetes, AWS, GCP, Azure, CI/CD, model monitoring, hyperparameter tuning, distributed systems
Preferred skills
ML algorithm optimization, resilient software deployment, advanced ML techniques (RL, Transformers), technical leadership, academic publications
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure, Python, Scala, Java
Responsibilities
Design and build ML models for business problems, develop and validate ML models, automate tests and deployment, construct optimized data pipelines, monitor models in production, leverage cloud architectures for scale
Seniority
Senior, hands-on IC
